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Journal of the American Statistical Association
Journal Prestige (SJR): 3.746
Citation Impact (citeScore): 2
Number of Followers: 76  
 
  Full-text available via subscription Subscription journal
ISSN (Print) 0162-1459 - ISSN (Online) 1537-274X
Published by American Statistical Association Homepage  [5 journals]
  • Consistent Community Detection in Inter-Layer Dependent Multi-Layer
           Networks

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      Authors: Jingnan ZhangJunhui WangXueqin Wanga International Institute of Finance; School of Management, University of Science Technology of China, Hefei, China; b Department of Statistics, The Chinese University of Hong Kong, Shatin, Hong Kong
      Pages: 1 - 11
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2024-02-21T08:56:12Z
      DOI: 10.1080/01621459.2024.2308848
       
  • Structural Equation Modeling Using R/SAS: A Step-by-Step Approach with
           Real Data Analysis

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      Authors: Lifeng LinUniversity of Arizona; Tucson, AZ
      Pages: 1 - 1
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2024-02-21T08:52:45Z
      DOI: 10.1080/01621459.2024.2309339
       
  • Bayesian Integrative Region Segmentation in Spatially Resolved
           Transcriptomic Studies

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      Authors: Yinqiao YanXiangyu LuoInstitute of Statistics; Big Data, Renmin University of China, Beijing, China
      Pages: 1 - 13
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2024-02-21T08:52:15Z
      DOI: 10.1080/01621459.2024.2308323
       
  • Dynamic Matrix Recovery

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      Authors: Ziyuan ChenYing YangFang Yaoa School of Mathematical Sciences; Center for Statistical Science, Peking University, Beijing, China; b Academy of Mathematics Systems Science, Chinese Academy of Sciences, Beijing, China
      Pages: 1 - 12
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2024-02-21T08:52:14Z
      DOI: 10.1080/01621459.2023.2297468
       
  • Identifiability and Consistent Estimation for Gaussian Chain Graph Models

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      Authors: Ruixuan ZhaoHaoran ZhangJunhui Wanga School of Data Science; City University of Hong Kong, Kowloon, Hong Kongb Department of Statistics Technology, Shenzhen, Chinac Department of Statistics, The Chinese University of Hong Kong, Shatin, Hong Kong
      Pages: 1 - 12
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2024-02-14T03:51:12Z
      DOI: 10.1080/01621459.2024.2304692
       
  • Data Science and Predictive Analytics, 2nd ed.

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      Authors: Xing QiuDepartment of Biostatistics; Computational Biology, University of Rochester, Rochester, NY
      Pages: 1 - 2
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2024-02-14T03:45:59Z
      DOI: 10.1080/01621459.2024.2303323
       
  • Extremal Random Forests

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      Authors: Nicola GneccoEdossa Merga TerefeSebastian Engelkea Department of Mathematical Sciences; University of Copenhagen, Copenhagen, Denmarkb Research Center for Statistics, University of Geneva, Geneva, Switzerlandc Statistics Department, Hawassa University, Awasa, Ethiopia
      Pages: 1 - 14
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2024-02-14T03:41:56Z
      DOI: 10.1080/01621459.2023.2300522
       
  • Policy Learning with Asymmetric Counterfactual Utilities

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      Authors: Eli Ben-MichaelKosuke ImaiZhichao Jianga Department of Statistics & Data Science; Department of Statistics, Institute for Quantitative Social Science, Harvard University, Cambridge, MAc School of Mathematics, Sun Yat-sen University, Guangzhou, Guangdong, China
      Pages: 1 - 14
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2024-02-13T04:35:36Z
      DOI: 10.1080/01621459.2023.2300507
       
  • Operator-Induced Structural Variable Selection for Identifying Materials
           Genes

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      Authors: Shengbin YeThomas P. SenftleMeng Lia Department of Statistics; Rice University, Houston, TXb Department of Chemical Biomolecular Engineering, Rice University, Houston, TX
      Pages: 1 - 14
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2024-01-23T05:17:08Z
      DOI: 10.1080/01621459.2023.2294527
       
  • Controlled Epidemiological Studies

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      Authors: Kaushik GhoshUniversity of Nevada; Las Vegas, Las Vegas, NV
      Pages: 1 - 3
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2024-01-16T01:36:43Z
      DOI: 10.1080/01621459.2024.2303317
       
  • A Composite Likelihood-Based Approach for Change-Point Detection in
           Spatio-Temporal Processes

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      Authors: Zifeng ZhaoTing Fung MaWai Leong NgChun Yip Yaua University of Notre Dame; Notre Dame, INb University of South Carolina, Columbia, SCc Hang Seng University of Hong Kong, Shatin, Hong Kongd Chinese University of Hong Kong, Shatin, Hong Kong
      Pages: 1 - 15
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2024-01-08T05:00:58Z
      DOI: 10.1080/01621459.2024.2302200
       
  • Graphical Principal Component Analysis of Multivariate Functional Time
           Series

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      Authors: Jianbin TanDecai LiangYongtao GuanHui Huanga School of Mathematics; Sun Yat-sen University, Guangzhou, Chinab School of Statistics School of Statistics, Renmin University of China, Beijing, China
      Pages: 1 - 24
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2024-01-08T04:59:56Z
      DOI: 10.1080/01621459.2024.2302198
       
  • Statistical Modeling with R: A Dual Frequentist and Bayesian Approach for
           Life Scientists

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      Authors: Christian P. RobertParis Dauphine University; Paris Cedex 16, France
      Pages: 1 - 3
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2024-01-08T04:59:15Z
      DOI: 10.1080/01621459.2024.2303316
       
  • Quantitative Methods for Precision Medicine: Pharmacogenomics in Action

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      Authors: Arthur BergDivision of Biostatistics & Bioinformatics; Pennsylvania State University, Hershey, PA
      Pages: 1 - 2
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2024-01-08T04:58:57Z
      DOI: 10.1080/01621459.2024.2303313
       
  • Weighted Functional Data Analysis for the Calibration of a Ground Motion
           Model in Italy

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      Authors: Teresa BortolottiRiccardo PeliGiovanni LanzanoSara SgobbaAlessandra Menafoglioa MOX - Department of Mathematics; Politecnico di Milano, Milano, Italyb Istituto Nazionale di Geofisica e Vulcanologia, Sezione di Milano, Milano, Italy
      Pages: 1 - 12
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2024-01-08T04:57:14Z
      DOI: 10.1080/01621459.2023.2300506
       
  • Clustering High-Dimensional Noisy Categorical Data

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      Authors: Zhiyi TianJiaming XuJen Tanga IQVIA; Wayne, PAb The Fuqua School of Business, Duke University, Durham, NCc Daniels School of Business, Purdue University, West Lafayette, IN
      Pages: 1 - 12
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2024-01-02T01:44:38Z
      DOI: 10.1080/01621459.2023.2298028
       
  • Rejoinder to Discussion of “A Tale of Two Datasets: Representativeness
           and Generalisability of Inference for Samples of Networks”

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      Authors: Pavel N. KrivitskyPietro ColettiNiel Hensa Department of Statistics; Infectious Disease Institute, University of Antwerp, Antwerp, Belgium
      Pages: 2235 - 2238
      Abstract: Volume 118, Issue 544, December 2023, Page 2235-2238
      .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-12-29T06:01:35Z
      DOI: 10.1080/01621459.2023.2280383
      Issue No: Vol. 118, No. 544 (2023)
       
  • Robust Validation: Confident Predictions Even When Distributions Shift

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      Authors: Maxime CauchoisSuyash GuptaAlnur AliJohn C. Duchia Department of Statistics; Stanford University, Stanford, CAb Department of Statistics Electrical Engineering, Stanford University, Stanford, CA
      Pages: 1 - 66
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-12-26T04:46:20Z
      DOI: 10.1080/01621459.2023.2298037
       
  • A Unified Nonparametric Fiducial Approach to Interval-Censored Data

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      Authors: Yifan CuiJan HannigMichael R. Kosoroka School of Management & Center for Data Science; Zhejiang University, Hangzhou, Chinab Department of Statistics Operations Research, UNC-Chapel Hill, Chapel Hill, NC
      Pages: 1 - 25
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-12-22T06:24:45Z
      DOI: 10.1080/01621459.2023.2252143
       
  • A Kernel Measure of Dissimilarity between M Distributions

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      Authors: Zhen HuangBodhisattva SenDepartment of Statistics; Columbia University, New York, NY
      Pages: 1 - 27
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-12-21T07:28:24Z
      DOI: 10.1080/01621459.2023.2298036
       
  • Bayesian Landmark-Based Shape Analysis of Tumor Pathology Images

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      Authors: Cong ZhangTejasv BediChul MoonYang XieMin ChenQiwei Lia Department of Mathematical Sciences; The University of Texas at Dallas, Richardson, TXb Department of Statistics Data Science, Southern Methodist University, Dallas, TXc Quantitative Biomedical Research Center, School of Public Health, The University of Texas Southwestern Medical Center, Dallas, TX
      Pages: 1 - 13
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-12-21T07:26:13Z
      DOI: 10.1080/01621459.2023.2298031
       
  • Estimating Cell-Type-Specific Gene Co-Expression Networks from Bulk Gene
           Expression Data with an Application to Alzheimer’s Disease

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      Authors: Chang SuJingfei ZhangHongyu Zhaoa Department of Biostatistics; Operations Management, Emory University, Atlanta, GA
      Pages: 1 - 23
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-12-21T07:19:18Z
      DOI: 10.1080/01621459.2023.2297467
       
  • Fitting Latent Non-Gaussian Models Using Variational Bayes and Laplace
           Approximations

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      Authors: Rafael CabralDavid BolinHåvard RueKing Abdullah University of Science; Technology, Thuwal, Saudi Arabia
      Pages: 1 - 13
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-12-21T07:19:14Z
      DOI: 10.1080/01621459.2023.2296704
       
  • Online Statistical Inference for Stochastic Optimization via
           Kiefer-Wolfowitz Methods

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      Authors: Xi ChenZehua LaiHe LiYichen Zhanga Stern School of Business; New York University, New York, NYb CCAM, University of Chicago, Chicago, ILc Mitchell E. Daniels, Jr. School of Business, Purdue University, West Lafayette, IN
      Pages: 1 - 24
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-12-21T07:17:47Z
      DOI: 10.1080/01621459.2023.2296703
       
  • Handbook of Matching and Weighting Adjustments for Causal Inference

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      Authors: Raymond K. W. WongDepartment of Statistics; Texas A&M University, College Station, TX
      Pages: 1 - 1
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-12-11T02:55:00Z
      DOI: 10.1080/01621459.2023.2293811
       
  • Model-Robust and Efficient Covariate Adjustment for Cluster-Randomized
           Experiments

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      Authors: Bingkai WangChan ParkDylan S. SmallFan Lia The Statistics; Prevention Science, Yale School of Public Health, New Haven, CT
      Pages: 1 - 13
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-11-30T02:31:16Z
      DOI: 10.1080/01621459.2023.2289693
       
  • Bounding Wasserstein Distance with Couplings

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      Authors: Niloy BiswasLester Mackeya Harvard University; Cambridge, MAb Microsoft Research New England, Cambridge, MA
      Pages: 1 - 12
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-11-27T09:03:06Z
      DOI: 10.1080/01621459.2023.2287773
       
  • Fundamentals of Causal Inference: With R

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      Authors: Ting YeDepartment of Biostatistics; University of Washington, Seattle, WA
      Pages: 1 - 1
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-11-27T08:58:39Z
      DOI: 10.1080/01621459.2023.2287599
       
  • Balancing Covariates in Randomized Experiments with the Gram–Schmidt
           Walk Design

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      Authors: Christopher HarshawFredrik SävjeDaniel A. SpielmanPeng Zhanga Massachusetts Institute of Technology; Cambridge, MAb Yale University, New Haven, CTc Rutgers University, New Brunswick, NJ
      Pages: 1 - 13
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-11-21T03:28:43Z
      DOI: 10.1080/01621459.2023.2285474
       
  • Stable Lévy Processes via Lamperti-Type Representations

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      Authors: Giacomo BormettiDepartment of Mathematics; Alma Mater Studiorum University of Bologna, Bologna, Italy
      Pages: 1 - 2
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-11-21T03:03:32Z
      DOI: 10.1080/01621459.2023.2286293
       
  • Minimum Resource Threshold Policy Under Partial Interference

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      Authors: Chan ParkGuanhua ChenMenggang YuHyunseung Kanga Department of Statistics; Medical Informatics, University of Wisconsin–Madison, Madison, WIc Department of Statistics, University of Wisconsin–Madison, Madison, WI
      Pages: 1 - 14
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-11-20T05:25:54Z
      DOI: 10.1080/01621459.2023.2284422
       
  • Bootstrap Inference in the Presence of Bias

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      Authors: Giuseppe CavaliereSílvia GonçalvesMorten Ørregaard NielsenEdoardo Zanellia University of Bologna; Bologna, Italyb Exeter Business School, Exeter, UKc McGill University, Montreal, Canadad Aarhus University, Aarhus, Denmark
      Pages: 1 - 11
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-11-17T08:53:16Z
      DOI: 10.1080/01621459.2023.2284980
       
  • Semi-Distance Correlation and Its Applications

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      Authors: Wei ZhongZhuoxi LiWenwen GuoHengjian Cuia MOE Key Lab of Econometrics; WISE, Xiamen University, Xiamen, Chinab Department of Statistics Data Science, SOE, Xiamen University, Xiamen, Chinac School of Mathematical Sciences, Capital Normal University, Beijing, China
      Pages: 1 - 15
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-11-17T08:51:20Z
      DOI: 10.1080/01621459.2023.2284988
       
  • Online Regularization toward Always-Valid High-Dimensional Dynamic Pricing

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      Authors: Chi-Hua WangZhanyu WangWill Wei SunGuang Chenga Department of Statistics; UCLA, Los Angeles, CAb Department of Statistics, Purdue University, West Lafayette, INc Daniels School of Business, Purdue University, West Lafayette, IN
      Pages: 1 - 13
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-11-17T08:49:29Z
      DOI: 10.1080/01621459.2023.2284979
       
  • Causal Inference with Noncompliance and Unknown Interference

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      Authors: Tadao HoshinoTakahide Yanagia School of Political Science; Economics, Waseda University, Tokyo, Japanb Graduate School of Economics, Kyoto University, Kyoto, Japan
      Pages: 1 - 12
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-11-17T08:45:51Z
      DOI: 10.1080/01621459.2023.2284413
       
  • Bayesian Spline-Based Hidden Markov Models with Applications to Actimetry
           Data and Sleep Analysis

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      Authors: Sida ChenBärbel Finkenstädta Department of Statistics; University of Warwick, Coventry, UKb MRC Biostatistics Unit, University of Cambridge, Cambridge, UK
      Pages: 1 - 11
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-11-16T07:26:29Z
      DOI: 10.1080/01621459.2023.2279707
       
  • Bayesian Lesion Estimation with a Structured Spike-and-Slab Prior

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      Authors: Anna MenacherThomas E. NicholsChris HolmesHabib Ganjgahia Department of Statistics; University of Oxford, Oxford, UKb Nuffield Department of Population Health, University of Oxford, Oxford, UK
      Pages: 1 - 15
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-11-16T06:48:38Z
      DOI: 10.1080/01621459.2023.2278201
       
  • A Decorrelating and Debiasing Approach to Simultaneous Inference for
           High-Dimensional Confounded Models

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      Authors: Yinrui SunLi MaYin XiaDepartment of Statistics; Data Science, Fudan University, Shanghai, China
      Pages: 1 - 12
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-11-16T02:10:55Z
      DOI: 10.1080/01621459.2023.2283938
       
  • Optimal Subsampling via Predictive Inference

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      Authors: Xiaoyang WuYuyang HuoHaojie RenChangliang Zoua School of Statistics; LEBPS, Nankai University, Tianjin, Chinab School of Mathematical Sciences, Shanghai Jiao Tong University, Shanghai, China
      Pages: 1 - 13
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-11-14T07:50:27Z
      DOI: 10.1080/01621459.2023.2282644
       
  • Large Scale Prediction with Decision Trees

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      Authors: Jason M. KlusowskiPeter M. TianDepartment of Operations Research; Financial Engineering, Princeton University, Princeton, NJ
      Pages: 1 - 27
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-11-13T01:21:10Z
      DOI: 10.1080/01621459.2022.2126782
       
  • Optimal and Safe Estimation for High-Dimensional Semi-Supervised Learning

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      Authors: Siyi DengYang NingJiwei ZhaoHeping Zhanga Department of Statistics; Medical Informatics, University of Wisconsin-Madison, Madison, WIc Department of Biostatistics, Yale University, New Haven, CT
      Pages: 1 - 12
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-11-07T04:44:27Z
      DOI: 10.1080/01621459.2023.2277409
       
  • Recommender Systems: A Review

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      Authors: Patrick M. LeBlancDavid BanksLinhui FuMingyan LiZhengyu TangQiuyi Wua Department of Statistical Science; Duke University, Durham, NCb Department of Mathematics Computational Biology, University of Rochester, Rochester, NY
      Pages: 1 - 13
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-11-06T07:33:27Z
      DOI: 10.1080/01621459.2023.2279695
       
  • Split Knockoffs for Multiple Comparisons: Controlling the Directional
           False Discovery Rate

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      Authors: Yang CaoXinwei SunYuan Yaoa Department of Mathematics; The Hong Kong University of Science Technology, Clear Water Bay, Hong Kongb School of Data Science, Fudan University, Shanghai, P.R. China
      Pages: 1 - 11
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-11-06T07:33:16Z
      DOI: 10.1080/01621459.2023.2279292
       
  • In Nonparametric and High-Dimensional Models, Bayesian Ignorability is an
           Informative Prior

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      Authors: Antonio R. LineroDepartment of Statistics; Data Sciences, University of Texas at Austin, Austin, TX
      Pages: 1 - 14
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-11-06T07:27:56Z
      DOI: 10.1080/01621459.2023.2278202
       
  • Nonparametric Statistical Inference via Metric Distribution Function in
           Metric Spaces

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      Authors: Xueqin WangJin ZhuWenliang PanJunhao ZhuHeping Zhanga University of Science; Political Science, London, UKd Chinese Academy of Sciences, Beijing, Chinae Yale University, New Haven, CT
      Pages: 1 - 13
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-11-06T07:25:31Z
      DOI: 10.1080/01621459.2023.2277417
       
  • Dimension Reduction for Fréchet Regression

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      Authors: Qi ZhangLingzhou XueBing LiDepartment of Statistics; The Pennsylvania State University, University Park, PA
      Pages: 1 - 15
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-11-06T07:22:12Z
      DOI: 10.1080/01621459.2023.2277406
       
  • Enveloped Huber Regression

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      Authors: Le ZhouR. Dennis CookHui Zoua Department of Mathematics; Hong Kong Baptist University, Kowloon Tong, Hong Kongb School of Statistics, University of Minnesota, Minneapolis, MN
      Pages: 1 - 11
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-11-06T07:20:20Z
      DOI: 10.1080/01621459.2023.2277403
       
  • Higher-Order Expansions and Inference for Panel Data Models

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      Authors: Jiti GaoBin PengYayi Yana Monash University; Victoria, Australiab Shanghai University of Finance Economics, Shanghai, China
      Pages: 1 - 12
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-11-03T02:51:07Z
      DOI: 10.1080/01621459.2023.2277411
       
  • Uniform Inference for Kernel Density Estimators with Dyadic Data

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      Authors: Matias D. CattaneoYingjie FengWilliam G. Underwooda Department of Operations Research; Management, Tsinghua University, Beijing, China
      Pages: 1 - 14
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-11-01T01:37:36Z
      DOI: 10.1080/01621459.2023.2272785
       
  • Statistical Analytics for Health Data Science with SAS and R

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      Authors: Ali RahnavardThe George Washington University; Washington, DC
      Pages: 1 - 1
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-10-23T12:20:56Z
      DOI: 10.1080/01621459.2023.2273403
       
  • Latent Space Modeling of Hypergraph Data

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      Authors: Kathryn TurnbullSimón LunagómezChristopher NemethEdoardo Airoldia Department of Mathematics; Statistics, Lancaster University, Lancaster, UKb Departamento de Estadística, Instituto Tecnológico Autónomo de México, Ciudad de México, Mexicoc Fox School of Business, Temple University, Philadelphia, PA
      Pages: 1 - 13
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-10-23T03:13:06Z
      DOI: 10.1080/01621459.2023.2270750
       
  • Discussion of “A Tale of Two Datasets: Representativeness and
           Generalisability of Inference for Samples of Networks”

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      Authors: Nynke M. D. NiezinkDepartment of Statistics & Data Science; Carnegie Mellon University, Pittsburgh, PA
      Pages: 1 - 3
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-10-20T12:57:38Z
      DOI: 10.1080/01621459.2023.2257267
       
  • A General Framework for Circular Local Likelihood Regression

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      Authors: María Alonso-PenaIrène GijbelsRosa M. Crujeirasa ORSTAT; KU Leuven, Leuven, Belgiumb CITMAga, Universidade de Santiago de Compostela, Santiago de Compostela, Spainc Department of Mathematics Leuven Statistics Research Center (LStat), KU Leuven, Leuven, Belgium
      Pages: 1 - 25
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-10-19T06:07:25Z
      DOI: 10.1080/01621459.2023.2272786
       
  • Power and Multicollinearity in Small Networks: A Discussion of “Tale of
           Two Datasets: Representativeness and Generalisability of Inference for
           Samples of Networks” by Krivitsky, Coletti, and Hens

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      Authors: George G. Vega YonDivision of Epidemiology; University of Utah, Salt Lake City, UT
      Pages: 1 - 4
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-10-19T03:04:58Z
      DOI: 10.1080/01621459.2023.2252041
       
  • Factor Augmented Sparse Throughput Deep ReLU Neural Networks for High
           Dimensional Regression

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      Authors: Jianqing FanYihong GuDepartment of Operations Research; Financial Engineering, Princeton University, Princeton, NJ
      Pages: 1 - 15
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-10-18T06:36:32Z
      DOI: 10.1080/01621459.2023.2271605
       
  • New Estimands for Experiments with Strong Interference

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      Authors: David ChoiHeinz College; Carnegie Mellon University, Pittsburgh, PA
      Pages: 1 - 10
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-10-18T06:33:02Z
      DOI: 10.1080/01621459.2023.2271205
       
  • A Projection Space-Filling Criterion and Related Optimality Results

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      Authors: Chenlu ShiHongquan Xua Department of Statistics; Colorado State university, Fort Collins, COb Department of Statistics & Data Science, University of California, Los Angeles, Los Angeles, CA
      Pages: 1 - 23
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-10-18T06:30:05Z
      DOI: 10.1080/01621459.2023.2271203
       
  • Data Fission: Splitting a Single Data Point

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      Authors: James LeinerBoyan DuanLarry WassermanAaditya Ramdasa Department of Statistics; Data Science, Carnegie Mellon University, Pittsburgh, PAb Google, Mountain View, CA
      Pages: 1 - 12
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-10-17T08:05:55Z
      DOI: 10.1080/01621459.2023.2270748
       
  • Minimax Quasi-Bayesian Estimation in Sparse Canonical Correlation Analysis
           via a Rayleigh Quotient Function

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      Authors: Qiuyun ZhuYves AtchadéDepartment of Mathematics; Statistics, Boston University, Boston, MA
      Pages: 1 - 11
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-10-17T01:54:47Z
      DOI: 10.1080/01621459.2023.2271199
       
  • A Feasibility Study of Differentially Private Summary Statistics and
           Regression Analyses with Evaluations on Administrative and Survey Data

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      Authors: Andrés F. BarrientosAaron R. WilliamsJoshua SnokeClaire McKay Bowena Florida State University; Tallahassee, FLb Urban Institute, Washington, DCc RAND Corporation, Pittsburgh, PA
      Pages: 1 - 14
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-10-17T01:47:51Z
      DOI: 10.1080/01621459.2023.2270795
       
  • Hierarchical Neyman-Pearson Classification for Prioritizing Severe Disease
           Categories in COVID-19 Patient Data

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      Authors: Lijia WangY. X. Rachel WangJingyi Jessica LiXin Tonga School of Data Science; City University of Hong Kong, Kowloon, Hong Kongb School of Mathematics Operations, University of Southern California, Los Angeles, CA
      Pages: 1 - 13
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-10-17T01:44:34Z
      DOI: 10.1080/01621459.2023.2270657
       
  • Controlling Cumulative Adverse Risk in Learning Optimal Dynamic Treatment
           Regimens

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      Authors: Mochuan LiuYuanjia WangHaoda FuDonglin Zenga Department of Biostatistics; University of North Carolina at Chapel Hill, Chapel Hill, NCb Department of Biostatistics, Columbia University, New York, NYc Eli Lilly Company, Indianapolis, INd dDepartment of Biostatistics, University of Michigan, Ann Arbor, MI
      Pages: 1 - 12
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-10-13T07:42:29Z
      DOI: 10.1080/01621459.2023.2270637
       
  • The Cellwise Minimum Covariance Determinant Estimator

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      Authors: Jakob RaymaekersPeter J. Rousseeuwa Department of Quantitative Economics; Maastricht University, Maastricht, The Netherlandsb Section of Statistics Data Science, University of Leuven, Leuven, Belgium
      Pages: 1 - 12
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-10-09T02:57:38Z
      DOI: 10.1080/01621459.2023.2267777
       
  • Discovery and Inference of a Causal Network with Hidden Confounding

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      Authors: Li ChenChunlin LiXiaotong ShenWei Pana School of Statistics; University of Minnesota, Minneapolis, MNb Department of Statistics, Iowa State University, Ames, IAc Division of Biostatistics, University of Minnesota, Minneapolis, MN
      Pages: 1 - 13
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-10-04T05:27:18Z
      DOI: 10.1080/01621459.2023.2261658
       
  • Copula Modeling of Serially Correlated Multivariate Data with Hidden
           Structures

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      Authors: Robert ZimmermanRadu V. CraiuVianey Leos-Barajasa Department of Statistical Sciences; University of Toronto, Toronto, Canadab Department of Statistical Sciences/School of the Environment, University of Toronto, Toronto, Canada
      Pages: 1 - 12
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-10-03T03:31:03Z
      DOI: 10.1080/01621459.2023.2263202
       
  • Confidence Intervals for Discrete Data in Clinical Research

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      Authors: Alan AgrestiDepartment of Statistics; University of Florida, Gainesville, FL
      Pages: 1 - 1
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-09-29T07:26:13Z
      DOI: 10.1080/01621459.2023.2262009
       
  • A Regression-Based Approach to Robust Estimation and Inference for Genetic
           Covariance

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      Authors: Jianqiao WangSai LiHongzhe Lia Department of Biostatistics; Harvard T. H. Chan School of Public Health, Harvard University, Boston, MAb Institute of Statistics Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
      Pages: 1 - 13
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-09-26T07:41:51Z
      DOI: 10.1080/01621459.2023.2261669
       
  • A Semiparametric Inverse Reinforcement Learning Approach to Characterize
           Decision Making for Mental Disorders

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      Authors: Xingche GuoDonglin ZengYuanjia Wanga Department of Biostatistics; Columbia University, New York, NYb Department of Biostatistics, University of Michigan, Ann Arbor, MIc Departments of Biostatistics Psychiatry, Columbia University, New York, NY
      Pages: 1 - 12
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-09-26T07:38:46Z
      DOI: 10.1080/01621459.2023.2261184
       
  • Group Network Hawkes Process

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      Authors: Guanhua FangGanggang XuHaochen XuXuening ZhuYongtao Guana Fudan University; Shanghai, Chinab University of Miami, Coral Gables, FLc The Chinese University of Hong Kong, Shenzhen, Chinad Shenzhen Research Institute of Big Data, Shenzhen, China
      Pages: 1 - 17
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-09-26T07:37:50Z
      DOI: 10.1080/01621459.2023.2257889
       
  • Inference in High-Dimensional Multivariate Response Regression with Hidden
           Variables

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      Authors: Xin BingWei ChengHuijie FengYang Ninga Department of Statistical Sciences; University of Toronto, Toronto, Canadab Center for Computational Molecular Biology, Brown University, Providence, RIc Microsoft, Bellevue, WAd Department of Statistics Data Science, Cornell University, Ithaca, NY
      Pages: 1 - 12
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-09-26T01:57:39Z
      DOI: 10.1080/01621459.2023.2241701
       
  • Robust Leave-One-Out Cross-Validation for High-Dimensional Bayesian Models

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      Authors: Luca Alessandro SilvaGiacomo Zanellaa Department of Decision Sciences; Bocconi University, Milano, Italyb Department of Decision Sciences BIDSA, Bocconi University, Milano, Italy
      Pages: 1 - 13
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-09-20T12:50:00Z
      DOI: 10.1080/01621459.2023.2257893
       
  • A Wasserstein Index of Dependence for Random Measures

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      Authors: Marta CatalanoHugo LavenantAntonio LijoiIgor Prünstera Department of Economics; Analytics (BIDSA), Bocconi University, Milano, Italy
      Pages: 1 - 11
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-09-20T07:22:49Z
      DOI: 10.1080/01621459.2023.2258596
       
  • Bayesian Inference on High-Dimensional Multivariate Binary Responses

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      Authors: Antik ChakrabortyRihui OuDavid B. Dunsona Department of Statistics; Purdue University, West Lafayette, INb Department of Statistical Science, Duke University, Durham, NC
      Pages: 1 - 12
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-09-20T07:22:47Z
      DOI: 10.1080/01621459.2023.2260053
       
  • Ultimate Pólya Gamma Samplers–Efficient MCMC for Possibly Imbalanced
           Binary and Categorical Data

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      Authors: Gregor ZensSylvia Frühwirth-SchnatterHelga Wagnera International Institute for Applied Systems Analysis; Laxenburg, Austriab WU Wien, Vienna, Austriac JKU Linz, Linz, Austria
      Pages: 1 - 12
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-09-20T01:04:09Z
      DOI: 10.1080/01621459.2023.2259030
       
  • Smoothness-Penalized Deconvolution (SPeD) of a Density Estimate

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      Authors: David KentDavid Rupperta Department of Statistics; Information Engineering, Cornell University, Ithaca, NY
      Pages: 1 - 11
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-09-15T12:57:17Z
      DOI: 10.1080/01621459.2023.2259028
       
  • Heterogeneous Distributed Lag Models to Estimate Personalized Effects of
           Maternal Exposures to Air Pollution

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      Authors: Daniel MorkMarianthi-Anna KioumourtzoglouMarc WeisskopfBrent A. CoullAnder Wilsona Department of Biostatistics; Harvard T.H. Chan School of Public Health, Boston, MAb Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NYc Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MAd Department of Statistics, Colorado State University, Fort Collins, CO
      Pages: 1 - 13
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-09-14T04:05:58Z
      DOI: 10.1080/01621459.2023.2258595
       
  • Spatiotemporal Clustering with Neyman-Scott Processes via Connections to
           Bayesian Nonparametric Mixture Models

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      Authors: Yixin WangAnthony DeglerisAlex WilliamsScott W. Lindermana Department of Statistics; University of Michigan, Ann Arbor, MIb Department of Electrical Engineering, Stanford University, Stanford, CAc Center for Neural Science, New York University, New York, NYd Center for Computational Neuroscience, Flatiron Institute, New York, NYe Department of Statistics Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA
      Pages: 1 - 14
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-09-14T04:05:42Z
      DOI: 10.1080/01621459.2023.2257896
       
  • Random Fixed Boundary Flows

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      Authors: Zhigang YaoYuqing XiaZengyan Fana Department of Statistics; Technology, Singapore University of Social Sciences, Singapore
      Pages: 1 - 13
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-09-13T01:12:31Z
      DOI: 10.1080/01621459.2023.2257892
       
  • Generalized Bayesian Inference for Discrete Intractable Likelihood

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      Authors: Takuo MatsubaraJeremias KnoblauchFrançois-Xavier BriolChris. J. Oatesa School of Mathematics; The University of Edinburgh, Edinburgh, UKb Department of Statistical Science, University of College London, London, UKc School of Mathematics, Statistics Physics, Newcastle University, Newcastle upon Tyne, UKd The Alan Turing Institute, London, UK
      Pages: 1 - 11
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-09-12T04:10:32Z
      DOI: 10.1080/01621459.2023.2257891
       
  • A Randomized Pairwise Likelihood Method for Complex Statistical Inferences

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      Authors: Gildas MazoDimitris KarlisAndrea Raua MaIAGE; INRAE, Université Paris Saclay, Jouy-en-Josas, Franceb Athens University of Economics Business, Athens, Greecec Université Paris-Saclay, INRAE, AgroParisTech, GABI, Jouy-en-Josas, Franced BioEcoAgro Joint Research Unit, INRAE, Université de Liège, Université de Lille, Université de Picardie Jules Verne, Estrées-Mons, France
      Pages: 1 - 11
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-09-12T04:05:46Z
      DOI: 10.1080/01621459.2023.2257367
       
  • HAC Covariance Matrix Estimation in Quantile Regression

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      Authors: Antonio F. GalvaoJungmo Yoona Department of Economics; Michigan State University, East Lansing, MIb College of Economics Finance, Hanyang University, Seoul, Korea
      Pages: 1 - 12
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-09-12T04:01:54Z
      DOI: 10.1080/01621459.2023.2257365
       
  • Graphical Model Inference with Erosely Measured Data

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      Authors: Lili ZhengGenevera I. Allena Department of Electrical; Dan Duncan Neurological Research Institute, Texas Children’s Hospital
      Pages: 1 - 12
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-09-12T03:51:54Z
      DOI: 10.1080/01621459.2023.2256503
       
  • Fast Approximation of the Shapley Values Based on Order-of-Addition
           Experimental Designs

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      Authors: Liuqing YangYongdao ZhouHaoda FuMin-Qian LiuWei Zhenga School of Statistics; Company, Indianapolis, INc Haslam College of Business, University of Tennessee, Knoxville, TN
      Pages: 1 - 11
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-09-12T03:51:50Z
      DOI: 10.1080/01621459.2023.2257364
       
  • Bayesian Filtering and Smoothing, 2nd ed.

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      Authors: Jaewoo ParkDepartment of Applied Statistics; Yonsei University
      Pages: 1 - 2
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-09-11T02:43:54Z
      DOI: 10.1080/01621459.2023.2257260
       
  • Nonparametric Finite Mixture: Applications in Overcoming Misclassification
           Bias

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      Authors: Zi YeSolomon W. Harrara Department of Mathematics; Lehigh University, Bethlehem, PAb Dr. Bing Zhang Department of Statistics, University of Kentucky, Lexington, KY
      Pages: 1 - 13
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-09-11T01:48:27Z
      DOI: 10.1080/01621459.2023.2256501
       
  • Ideal Bayesian Spatial Adaptation

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      Authors: Veronika RočkováJudith Rousseaua University of Chicago Booth School of Business; Chicago, ILb University of Oxford, Oxford, UKc Université Paris Dauphine, Paris, France
      Pages: 1 - 14
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-09-11T01:46:42Z
      DOI: 10.1080/01621459.2023.2241705
       
  • Overcoming Repeated Testing Schedule Bias in Estimates of Disease
           Prevalence

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      Authors: Patrick M. SchnellMatthew WascherGrzegorz A. Rempalaa Division of Biostatistics; College of Public Health, The Ohio State University, Columbus, OHb Department of Mathematics, University of Dayton, Dayton, OH
      Pages: 1 - 13
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-09-06T02:46:03Z
      DOI: 10.1080/01621459.2023.2238943
       
  • Optimal Dynamic Treatment Regimes and Partial Welfare Ordering

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      Authors: Sukjin HanSchool of Economics; University of Bristol, Bristol, UK
      Pages: 1 - 11
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-09-06T02:44:08Z
      DOI: 10.1080/01621459.2023.2238941
       
  • Poisson-FOCuS: An Efficient Online Method for Detecting Count Bursts with
           Application to Gamma Ray Burst Detection

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      Authors: Kes WardGiuseppe DililloIdris EckleyPaul Fearnheada STOR-i Doctoral Training Centre; Lancaster University, Lancaster, UKb INAF-IAPS, Rome, Italyc University of Udine, Udine, Italyd Department of Mathematics Statistics, Lancaster University, Lancaster, UK
      Pages: 1 - 13
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-09-06T02:42:29Z
      DOI: 10.1080/01621459.2023.2235059
       
  • Covariate-Assisted Bayesian Graph Learning for Heterogeneous Data

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      Authors: Yabo NiuYang NiDebdeep PatiBani K. Mallicka Department of Mathematics; University of Houston, Houston, TXb Department of Statistics, Texas A&M University, College Station, TX
      Pages: 1 - 15
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-09-06T02:41:07Z
      DOI: 10.1080/01621459.2023.2233744
       
  • Network Estimation by Mixing: Adaptivity and More

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      Authors: Tianxi LiCan M. Lea School of Statistics; University of Minnesota, Minneapolis, MNb Department of Statistics, University of California, Davis, Davis, CA
      Pages: 1 - 16
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-09-05T12:32:37Z
      DOI: 10.1080/01621459.2023.2252137
       
  • Semiparametrically Efficient Method for Enveloped Central Space

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      Authors: Linquan MaJixin WangHan ChenLan Liua School of Statistics; University of Minnesota at Twin Cities, Minneapolis, MNb Department of Statistics, University of Wisconsin-Madison, Madison, WIc Department of Statistics, Rice University, Houston, TXd Department of Statistics, University of California at Davis, Davis, CA
      Pages: 1 - 12
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-09-05T12:29:56Z
      DOI: 10.1080/01621459.2023.2252134
       
  • Estimation and Inference of Extremal Quantile Treatment Effects for
           Heavy-Tailed Distributions

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      Authors: David DeuberJinzhou LiSebastian EngelkeMarloes H. Maathuisa Seminar für Statistik; ETH Zürich, Zürich, Switzerlandb Research Center for Statistics, University of Geneva, Geneva, Switzerland
      Pages: 1 - 11
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-08-31T08:52:19Z
      DOI: 10.1080/01621459.2023.2252141
       
  • Unveiling the Unobservable: Causal Inference on Multiple Derived Outcomes

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      Authors: Yumou QiuJiarui SunXiao-Hua Zhoua School of Mathematical Sciences; Department of Biostatistics, Peking University, Beijing, China
      Pages: 1 - 12
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-08-31T08:52:13Z
      DOI: 10.1080/01621459.2023.2252135
       
  • A Negative Correlation Strategy for Bracketing in
           Difference-in-Differences

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      Authors: Ting YeLuke KeeleRaiden HasegawaDylan S. Smalla University of Washington; Seattle, WAb University of Pennsylvania, Philadelphia, PAc Google, Baltimore, MD
      Pages: 1 - 13
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-08-29T02:54:16Z
      DOI: 10.1080/01621459.2023.2252576
       
  • Exact Decoding of a Sequentially Markov Coalescent Model in Genetics

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      Authors: Caleb KiJonathan TerhorstDepartment of Statistics; University of Michigan, Ann Arbor, MI
      Pages: 1 - 14
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-08-29T02:52:15Z
      DOI: 10.1080/01621459.2023.2252570
       
  • Spectral Clustering, Bayesian Spanning Forest, and Forest Process

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      Authors: Leo L. DuanArkaprava Roya Department of Statistics; University of Florida, Gainesville, FLb Department of Biostatistics, University of Florida, Gainesville, FL
      Pages: 1 - 14
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-08-24T04:00:36Z
      DOI: 10.1080/01621459.2023.2250098
       
  • Unified Unconditional Regression for Multivariate Quantiles, M-Quantiles,
           and Expectiles

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      Authors: Luca MerloLea PetrellaNicola SalvatiNikos Tzavidisa Department of Human Sciences; European University of Rome, Rome, Italyb MEMOTEF Department, Sapienza University of Rome, Rome, Italyc Department of Economics Demography, Southampton Statistical Sciences Research Institute, University of Southampton, Southampton, UK
      Pages: 1 - 12
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-08-24T01:48:31Z
      DOI: 10.1080/01621459.2023.2250512
       
  • A Comprehensive Bayesian Framework for Envelope Models

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      Authors: Saptarshi ChakrabortyZhihua Sua Department of Biostatistics; State University of New York at Buffalo, Buffalo, NYb Department of Statistics, University of Florida, Gainesville, FL
      Pages: 1 - 11
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-08-24T01:27:03Z
      DOI: 10.1080/01621459.2023.2250096
       
  • A Nonstationary Soft Partitioned Gaussian Process Model via Random
           Spanning Trees

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      Authors: Zhao Tang LuoHuiyan SangBani MallickDepartment of Statistics; Texas A&M University, College Station, TX
      Pages: 1 - 12
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-08-23T07:31:26Z
      DOI: 10.1080/01621459.2023.2249642
       
  • Empirical Likelihood for Network Data

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      Authors: Yukitoshi MatsushitaTaisuke Otsua Graduate School of Economics; Hitotsubashi University, Kunitachi, Tokyo, Japanb Department of Economics, London School of Economics, London, UK
      Pages: 1 - 12
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-08-23T07:30:26Z
      DOI: 10.1080/01621459.2023.2250091
       
  • An Automated Approach to Causal Inference in Discrete Settings

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      Authors: Guilherme DuarteNoam FinkelsteinDean KnoxJonathan MummoloIlya Shpitsera Operations; Information International Affairs, Princeton University, Princeton, NJ
      Pages: 1 - 16
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-08-21T02:38:29Z
      DOI: 10.1080/01621459.2023.2216909
       
  • PCABM: Pairwise Covariates-Adjusted Block Model for Community Detection

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      Authors: Sihan HuangJiajin SunYang Fenga Department of Statistics; Columbia University, New York, NYb Department of Biostatistics, New York University, New York, NY
      Pages: 1 - 13
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-08-10T03:23:46Z
      DOI: 10.1080/01621459.2023.2244731
       
  • A Tale of Two Datasets: Representativeness and Generalisability of
           Inference for Samples of Networks

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      Authors: Pavel N. KrivitskyPietro ColettiNiel Hensa Department of Statistics; Infectious Disease Institute, University of Antwerp, Antwerp, Belgium
      Pages: 1 - 11
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-08-10T03:18:44Z
      DOI: 10.1080/01621459.2023.2242627
       
  • Statistical Inference for Maximin Effects: Identifying Stable Associations
           across Multiple Studies

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      Authors: Zijian GuoDepartment of Statistics; Rutgers University, Piscataway, NJ
      Pages: 1 - 17
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-08-04T06:04:37Z
      DOI: 10.1080/01621459.2023.2233162
       
  • Factor Augmented Inverse Regression and its Application to Microbiome Data
           Analysis

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      Authors: Daolin PangHongyu ZhaoTao Wanga Department of Bioinformatics; Data Science, Shanghai Jiao Tong University, Shanghai, Chinad Department of Statistics, School of Mathematical Sciences, Shanghai Jiao Tong University, Shanghai, Chinae MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University, Shanghai, China
      Pages: 1 - 11
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-08-04T06:01:37Z
      DOI: 10.1080/01621459.2023.2231577
       
  • On the Estimation of the Number of Communities for Sparse Networks

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      Authors: Neil HwangJiarui XuShirshendu ChatterjeeSharmodeep Bhattacharyyaa Department of Business; Information Systems, City University of New York - Bronx Community College, New York, NYb Meta Platforms Inc., Bellevue, WAc Department of Mathematics, City University of New York, New York, NYd Department of Statistics, Oregon State University, Corvallis, OR
      Pages: 1 - 16
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-08-02T02:43:56Z
      DOI: 10.1080/01621459.2023.2223793
       
  • Bayesian Nonparametric Common Atoms Regression for Generating Synthetic
           Controls in Clinical Trials

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      Authors: Noirrit Kiran ChandraAbhra SarkarJohn F. de GrootYing YuanPeter Müllera Department of Mathematical Sciences; The University of Texas at Dallas, Richardson, TXb Department of Statistics Data Sciences, The University of Texas at Austin, TXc Department of Neurological Surgery, University of California San Francisco, San Francisco, CAd Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TXe Department of Mathematics, The University of Texas at Austin, TX
      Pages: 1 - 14
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-07-26T08:06:38Z
      DOI: 10.1080/01621459.2023.2231581
       
  • DDAC-SpAM: A Distributed Algorithm for Fitting High-dimensional Sparse
           Additive Models with Feature Division and Decorrelation

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      Authors: Yifan HeRuiyang WuYong ZhouYang Fenga Department of Statistics; The Chinese University of Hong Kong, Hong Kongb Department of Biostatistics, School of Global Public Health, New York University, New York, NYc Academy of Statistics School of Statistics, East China Normal University, Shanghai, China
      Pages: 1 - 12
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-07-26T08:02:08Z
      DOI: 10.1080/01621459.2023.2225743
       
  • Spectral Embedding of Weighted Graphs

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      Authors: Ian GallagherAndrew JonesAnna BertigerCarey E. PriebePatrick Rubin-Delanchya School of Mathematics; University of Bristol, UKb Microsoft, Redmond, WAc Department of Applied Mathematics Statistics, Johns Hopkins University, Baltimore, MD
      Pages: 1 - 10
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-07-26T08:00:28Z
      DOI: 10.1080/01621459.2023.2225239
       
  • Multivariate Sparse Clustering for Extremes

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      Authors: Nicolas MeyerOlivier Wintenbergera IMAG; Univ. Montpellier, CNRS, Montpellier, Franceb LEMON, Inria, Montpellier, Francec Sorbonne Université, LPSM, Paris, Franced Wolfgang Pauli Institut, c/o Fakultät für Mathematik, Universität Wien, Vienna, Austria
      Pages: 1 - 12
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-07-26T07:58:16Z
      DOI: 10.1080/01621459.2023.2224517
       
  • De-confounding Causal Inference Using Latent Multiple-Mediator Pathways

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      Authors: Yubai YuanAnnie Qua Department of Statistics; The Pennsylvania State University, State College, PAb Department of Statistics, University of California, Irvine, Irvine, CA
      Pages: 1 - 15
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-07-26T07:50:22Z
      DOI: 10.1080/01621459.2023.2240461
       
  • High-Dimensional Time Series Segmentation via Factor-Adjusted Vector
           Autoregressive Modeling

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      Authors: Haeran ChoHyeyoung MaengIdris A. EckleyPaul Fearnheada School of Mathematics; University of Bristol, Bristol, UKb Department of Mathematical Sciences, Durham University, Durham, UKc Department of Mathematics Statistics, Lancaster University, Lancaster, UK
      Pages: 1 - 13
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-07-26T07:48:14Z
      DOI: 10.1080/01621459.2023.2240054
       
  • Sensitivity to Unobserved Confounding in Studies with Factor-Structured
           Outcomes

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      Authors: Jiajing ZhengJiaxi WuAlexander D’AmourAlexander Franksa University of California; Santa Barbara, Santa Barbara, CAb Google Research, Cambridge, MA
      Pages: 1 - 12
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-07-26T07:45:54Z
      DOI: 10.1080/01621459.2023.2240053
       
  • Mixed-Response State-Space Model for Analyzing Multi-Dimensional Digital
           Phenotypes

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      Authors: Tianchen XuYuan ChenDonglin ZengYuanjia Wanga Department of Biostatistics; Mailman School of Public Health, Columbia University, New York, NYb Department of Epidemiology Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NYc Department of Biostatistics, The University of North Carolina at Chapel Hill, Chapel Hill, NC
      Pages: 1 - 13
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-07-20T07:45:15Z
      DOI: 10.1080/01621459.2023.2225742
       
  • Exact Bayesian Inference for Diffusion-Driven Cox Processes

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      Authors: Flávio B. GonçalvesKrzysztof G. ŁatuszyńskiGareth O. Robertsa Universidade Federal de Minas Gerais; Belo Horizonte, Brazilb University of Warwick, Coventry, UK
      Pages: 1 - 13
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-07-20T07:45:15Z
      DOI: 10.1080/01621459.2023.2223791
       
  • Discussion of “A Tale of Two Datasets: Representativeness and
           Generalisability of Inference for Samples of Networks” by Pavel N.
           Krivitsky, Pietro Coletti, and Niel Hens

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      Authors: Michael SchweinbergerCornelius FritzDepartment of Statistics; The Pennsylvania State University, University Park, PA
      Pages: 1 - 5
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-07-20T07:19:13Z
      DOI: 10.1080/01621459.2023.2223680
       
  • Value Enhancement of Reinforcement Learning via Efficient and Robust Trust
           Region Optimization

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      Authors: Chengchun ShiZhengling QiJianing WangFan Zhoua Department of Statistics; London School of Economics Economics, Shanghai, China
      Pages: 1 - 15
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-07-20T06:59:25Z
      DOI: 10.1080/01621459.2023.2238942
       
  • Testing Directed Acyclic Graph via Structural, Supervised and Generative
           Adversarial Learning

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      Authors: Chengchun ShiYunzhe ZhouLexin Lia London School of Economics; Political Science, London, UKb University of California at Berkeley, Berkeley, CA
      Pages: 1 - 14
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-07-12T07:58:46Z
      DOI: 10.1080/01621459.2023.2220169
       
  • Bahadur Efficiency of Observational Block Designs

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      Authors: Paul R. RosenbaumDepartment of Statistics; Data Science, Wharton School, University of Pennsylvania, Philadelphia, PA
      Pages: 1 - 11
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-07-10T07:09:55Z
      DOI: 10.1080/01621459.2023.2221402
       
  • Double Negative Control Inference in Test-Negative Design Studies of
           Vaccine Effectiveness

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      Authors: Kendrick Qijun LiXu ShiWang MiaoEric Tchetgen Tchetgena Department of Biostatistics; University of Michigan, Ann Arbor, MIb Department of Probability Data Science, The Wharton School, University of Pennsylvania, Philadelphia, PA
      Pages: 1 - 12
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-07-10T07:05:53Z
      DOI: 10.1080/01621459.2023.2220935
       
  • Bayesian Inference Using the Proximal Mapping: Uncertainty Quantification
           Under Varying Dimensionality

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      Authors: Maoran XuHua ZhouYujie HuLeo L. Duana Department of Statistical Science; Duke University, Durham, NCb Departments of Biostatistics Computational Medicine, University of California, Los Angeles, CAc Department of Geography, University of Florida, Gainesville, FLd Department of Statistics, University of Florida, Gainesville, FL
      Pages: 1 - 12
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-07-10T07:01:22Z
      DOI: 10.1080/01621459.2023.2220170
       
  • Independence Weights for Causal Inference with Continuous Treatments

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      Authors: Jared D. HulingNoah GreiferGuanhua Chena Division of Biostatistics; University of Minnesota, Minneapolis, MNb Institute for Quantitative Social Science, Harvard University, Cambridge, MAc Department of Biostatistics Medical Informatics, University of Wisconsin-Madison, Madison, WI
      Pages: 1 - 14
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-07-10T06:52:07Z
      DOI: 10.1080/01621459.2023.2213485
       
  • Classified Mixed Model Projections

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      Authors: J. Sunil RaoMengying LiJiming Jianga Division of Biostatistics; University of Minnesota, Twin Cities, MN;b Division of Biostatistics, University of Miami, Miami, FL;c Department of Statistics, University of California, Davis, Davis, CA
      Pages: 1 - 15
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-07-06T04:06:07Z
      DOI: 10.1080/01621459.2023.2218041
       
  • Gaussian Approximation and Spatially Dependent Wild Bootstrap for
           High-Dimensional Spatial Data

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      Authors: Daisuke KurisuKengo KatoXiaofeng Shaoa The University of Tokyo; Tokyo, Japanb Cornell University, Ithaca, NYc University of Illinois at Urbana-Champaign, Urbana, IL
      Pages: 1 - 13
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-07-03T05:22:24Z
      DOI: 10.1080/01621459.2023.2218578
       
  • Survival Mixed Membership Blockmodel

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      Authors: Fangda SongJing ChuShuangge MaYingying Weia School of Data Science; The Chinese University of Hong Kong (Shenzhen), Shenzhen, China;b Department of Statistics, The Chinese University of Hong Kong, Hong Kong, China;c Department of Biostatistics, Yale University, NewHaven, CT, USA
      Pages: 1 - 10
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-06-27T07:22:50Z
      DOI: 10.1080/01621459.2023.2213466
       
  • Accommodating Time-Varying Heterogeneity in Risk Estimation under the Cox
           Model: A Transfer Learning Approach

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      Authors: Ziyi LiYu ShenJing NingDepartment of Biostatistics; The University of Texas MD Anderson Cancer Center, Houston, TX
      Pages: 1 - 12
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-06-26T03:16:48Z
      DOI: 10.1080/01621459.2023.2210336
       
  • Narrowest Significance Pursuit: Inference for Multiple Change-Points in
           Linear Models

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      Authors: Piotr FryzlewiczDepartment of Statistics; London School of Economics, London, UK
      Pages: 1 - 14
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-06-23T06:16:01Z
      DOI: 10.1080/01621459.2023.2211733
       
  • A Hierarchical Expected Improvement Method for Bayesian Optimization

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      Authors: Zhehui ChenSimon MakC. F. Jeff Wua H. Milton Stewart School of Industrial; Systems Engineering, Georgia Institute of Technology, Atlanta, GAb Department of Statistical Science, Duke University, Durham, NC
      Pages: 1 - 14
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-06-23T04:48:46Z
      DOI: 10.1080/01621459.2023.2210803
       
  • Censored Interquantile Regression Model with Time-Dependent Covariates

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      Authors: Chi Wing ChuTony Sita Department of Management Sciences; City University of Hong Kongb Department of Statistics, The Chinese University of Hong Kong, Shatin, Hong Kong SAR
      Pages: 1 - 12
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-06-22T06:08:24Z
      DOI: 10.1080/01621459.2023.2208389
       
  • Large-Scale Two-Sample Comparison of Support Sets

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      Authors: Haoyu GengXiaolong CuiHaojie RenChangliang Zoua School of Statistics; LEBPS, Nankai University, Tianjin, Chinab School of Mathematical Sciences, Shanghai Jiao Tong University, Shanghai, China
      Pages: 1 - 15
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-06-22T04:29:16Z
      DOI: 10.1080/01621459.2023.2210337
       
  • Analyzing Big EHR Data—Optimal Cox Regression Subsampling Procedure
           with Rare Events

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      Authors: Nir KeretMalka GorfineDepartment of Statistics; Operations Research, Tel Aviv University, Tel Aviv, Israel
      Pages: 1 - 14
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-06-22T04:07:42Z
      DOI: 10.1080/01621459.2023.2209349
       
  • Estimation of Linear Functionals in High-Dimensional Linear Models: From
           Sparsity to Nonsparsity

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      Authors: Junlong ZhaoYang ZhouYufeng Liua School of Statistics; Beijing Normal University, Beijing, Chinab Department of Statistics Operations Research, Department of Genetics, Department of Biostatistics, Carolina Center for Genome Sciences, Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, NC
      Pages: 1 - 13
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-06-22T03:50:51Z
      DOI: 10.1080/01621459.2023.2206084
       
  • Modeling Postoperative Mortality in Older Patients by Boosting
           Discrete-Time Competing Risks Models

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      Authors: Moritz BergerAna KowarkRolf RossaintMark CoburnMatthias Schmida Department of Medical Biometry; Informatics Intensive Care, University Hospital Bonn, Bonn, Germany
      Pages: 1 - 21
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-06-21T08:00:02Z
      DOI: 10.1080/01621459.2023.2208388
       
  • Covariate-Informed Latent Interaction Models: Addressing Geographic &
           Taxonomic Bias in Predicting Bird–Plant Interactions

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      Authors: Georgia PapadogeorgouCarolina BelloOtso OvaskainenDavid B. Dunsona Department of Statistics; University of Florida, Gainesville, FLb Department of Environmental Systems Science, ETH Zürich, Zurich, Switzerlandc Department of Biological Technology, Trondheim, Norwayf Department of Statistical Science, Duke University, Durham, NC
      Pages: 1 - 12
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-06-16T06:27:39Z
      DOI: 10.1080/01621459.2023.2208390
       
  • Testing Simultaneous Diagonalizability

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      Authors: Yuchen XuMarie-Christine DükerDavid S. MattesonDepartment of Statistics; Data Science, Cornell University, Ithaca, NY
      Pages: 1 - 13
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-06-08T06:10:20Z
      DOI: 10.1080/01621459.2023.2202435
       
  • Ridge Regression Under Dense Factor Augmented Models

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      Authors: Yi HeAmsterdam School of Economics; University of Amsterdam, Amsterdam, The Netherlands
      Pages: 1 - 13
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-06-05T06:24:35Z
      DOI: 10.1080/01621459.2023.2206082
       
  • Anytime-Valid Tests of Conditional Independence Under Model-X

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      Authors: Peter GrünwaldAlexander HenziTyron Lardya Department of Machine Learning; Centrum Wiskunde & Informatica, Amsterdam, The Netherlandsb Department of Statistics, Leiden University, Leiden, The Netherlandsc Seminar for Statistics, ETH Zürich, Switzerland
      Pages: 1 - 12
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-06-05T06:18:52Z
      DOI: 10.1080/01621459.2023.2205607
       
  • Inference for Treatment-Specific Survival Curves Using Machine Learning

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      Authors: Ted WestlingAlex LuedtkePeter B. GilbertMarco Caronea Department of Mathematics; Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WAd Department of Biostatistics, University of Washington, Seattle, WA
      Pages: 1 - 13
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-06-05T05:54:48Z
      DOI: 10.1080/01621459.2023.2205060
       
  • A Unified Inference for Predictive Quantile Regression

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      Authors: Xiaohui LiuWei LongLiang PengBingduo Yanga School of Statistics; Economics, Guangzhou, China
      Pages: 1 - 15
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-06-05T05:50:39Z
      DOI: 10.1080/01621459.2023.2203354
       
  • Asymptotic Distribution-Free Independence Test for High-Dimension Data

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      Authors: Zhanrui CaiJing LeiKathryn Roedera Faculty of Business; Data Science, Carnegie Mellon University, Pittsburgh, PA
      Pages: 1 - 21
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-05-26T03:46:09Z
      DOI: 10.1080/01621459.2023.2218030
       
  • Efficient Multimodal Sampling via Tempered Distribution Flow

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      Authors: Yixuan QiuXiao Wanga School of Statistics; Economics, Shanghai, P.R. China b Department of Statistics, Purdue University, West Lafayette, IN
      Pages: 1 - 15
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-05-26T03:28:29Z
      DOI: 10.1080/01621459.2023.2198059
       
  • What is a Randomization Test'

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      Authors: Yao ZhangQingyuan Zhaoa Department of Statistics; Stanford University, Stanford, CAb Statistical Laboratory, University of Cambridge, Cambridge, UK
      Pages: 1 - 15
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-05-26T02:56:35Z
      DOI: 10.1080/01621459.2023.2199814
       
  • Inference in High-Dimensional Online Changepoint Detection

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      Authors: Yudong ChenTengyao WangRichard J. Samwortha Statistical Laboratory; University of Cambridge, Cambridge, UKb London School of Economics Political Science, London, UK
      Pages: 1 - 12
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-05-26T02:40:14Z
      DOI: 10.1080/01621459.2023.2199962
       
  • Adaptive Functional Thresholding for Sparse Covariance Function Estimation
           in High Dimensions

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      Authors: Qin FangShaojun GuoXinghao Qiaoa Department of Statistics; London School of Economics Big Data, Renmin University of China, Beijing, P.R. China
      Pages: 1 - 13
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-05-26T02:35:27Z
      DOI: 10.1080/01621459.2023.2200522
       
  • Sparse Convoluted Rank Regression in High Dimensions

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      Authors: Le ZhouBoxiang WangHui Zoua Department of Mathematics; Hong Kong Baptist University, Kowloon Tong, Hong Kong b Department of Statistics Actuarial Science, University of Iowa, Iowa City, IAc School of Statistics, University of Minnesota, Minneapolis, MN
      Pages: 1 - 13
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-05-26T02:11:42Z
      DOI: 10.1080/01621459.2023.2202433
       
  • Statistical Inferences for Complex Dependence of Multimodal Imaging Data

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      Authors: Jinyuan ChangJing HeJian KangMingcong Wua Joint Laboratory of Data Science; Systems Science, Chinese Academy of Sciences, Beijing, Chinac Department of Biostatistics, University of Michigan, Ann Arbor, MI
      Pages: 1 - 14
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-05-26T02:11:37Z
      DOI: 10.1080/01621459.2023.2200610
       
  • Cross-Validation: What Does It Estimate and How Well Does It Do It'

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      Authors: Stephen BatesTrevor HastieRobert Tibshirania Department of Statistics; Statistics, Stanford University, Stanford, CA
      Pages: 1 - 12
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-05-15T06:48:36Z
      DOI: 10.1080/01621459.2023.2197686
       
  • Bayesian Conditional Transformation Models

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      Authors: Manuel CarlanThomas KneibNadja Kleina Chair of Statistics; University of Göttingen, Göttingen, Germanyb Chair of Uncertainty Quantification Security (UA Ruhr), Dortmund, Germanyc Department of Statistics, Technische Universität Dortmund, Dortmund, Germany
      Pages: 1 - 14
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-05-15T06:48:07Z
      DOI: 10.1080/01621459.2023.2191820
       
  • Tail Spectral Density Estimation and Its Uncertainty Quantification:
           Another Look at Tail Dependent Time Series Analysis

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      Authors: Ting ZhangBeibei XuUniversity of Georgia; Athens, GA
      Pages: 1 - 10
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-05-15T06:48:00Z
      DOI: 10.1080/01621459.2023.2197159
       
  • Scalable Bayesian Transport Maps for High-Dimensional Non-Gaussian Spatial
           Fields

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      Authors: Matthias KatzfussFlorian Schäfera Department of Statistics; Texas A&M University, College Station, TXb School of Computational Science Engineering, Georgia Institute of Technology, Atlanta, GA
      Pages: 1 - 15
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-05-02T02:53:05Z
      DOI: 10.1080/01621459.2023.2197158
       
  • Test of Significance for High-Dimensional Thresholds with Application to
           Individualized Minimal Clinically Important Difference

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      Authors: Huijie FengJingyi DuanYang NingJiwei Zhaoa Department of Statistics; Medical Informatics, University of Wisconsin-Madison, Madison, WI
      Pages: 1 - 13
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-04-18T07:21:02Z
      DOI: 10.1080/01621459.2023.2195977
       
  • Feature Screening with Conditional Rank Utility for Big-Data
           Classification

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      Authors: Xingxiang LiChen Xua School of Mathematics; Statistics, University of Ottawa, Ottawa, Canada
      Pages: 1 - 11
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-04-18T07:20:08Z
      DOI: 10.1080/01621459.2023.2195976
       
  • Cohesion and Repulsion in Bayesian Distance Clustering

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      Authors: Abhinav NatarajanMaria De IorioAndreas HeineckeEmanuel MayerSimon Glenna Mathematical Institute; University of Oxford, Oxford, UKb Yong Loo Lin School of Medicine, National University of Singapore, Singaporec University College London, London, UKd A*STAR, Singaporee Yale-NUS College, Singaporef Ashmolean Museum, University of Oxford, Oxford, UK
      Pages: 1 - 11
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-04-18T07:19:14Z
      DOI: 10.1080/01621459.2023.2191821
       
  • Fixed-Domain Posterior Contraction Rates for Spatial Gaussian Process
           Model with Nugget

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      Authors: Cheng LiSaifei SunYichen Zhua Department of Statistics; Data Science, National University of Singapore, Singaporeb Department of Statistical Science, Duke University, Durham, NC
      Pages: 1 - 25
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-04-18T07:19:13Z
      DOI: 10.1080/01621459.2023.2191380
       
  • Semiparametric Proximal Causal Inference

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      Authors: Yifan CuiHongming PuXu ShiWang MiaoEric Tchetgen Tchetgena Center for Data Science; Zhejiang University, Hangzhou, Chinab Department of Statistics Statistics, Peking University, Beijing, China
      Pages: 1 - 12
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-04-18T07:09:20Z
      DOI: 10.1080/01621459.2023.2191817
       
  • Variable Selection for High-Dimensional Nodal Attributes in Social
           Networks with Degree Heterogeneity

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      Authors: Jia WangXizhen CaiXiaoyue NiuRunze Lia Department of Statistics; Pennsylvania State University, University Park, PAb Department of Mathematics Statistics, Williams College, Williamstown, MA
      Pages: 1 - 14
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-04-13T06:38:47Z
      DOI: 10.1080/01621459.2023.2187815
       
  • Distributed Inference for Spatial Extremes Modeling in High Dimensions

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      Authors: Emily C. HectorBrian J. ReichDepartment of Statistics; North Carolina State University, Raleigh, NC
      Pages: 1 - 12
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-04-13T06:38:29Z
      DOI: 10.1080/01621459.2023.2186886
       
  • Doubly Robust Capture-Recapture Methods for Estimating Population Size

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      Authors: Manjari DasEdward H. KennedyNicholas P. Jewella Department of Statistics & Data Science; Carnegie Mellon University, Pittsburgh, PAb Department of Medical Statistics, London School of Hygiene & Tropical Medicine, London, UKc Division of Biostatistics Epidemiology, University of California, Berkeley, CA
      Pages: 1 - 13
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-04-12T07:02:59Z
      DOI: 10.1080/01621459.2023.2187814
       
  • On Learning and Testing of Counterfactual Fairness through Data
           Preprocessing

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      Authors: Haoyu ChenWenbin LuRui SongPulak Ghosha Department of Statistics; North Carolina State University, Raleigh, NCb Decision Sciences & Centre for Public Policy, Indian Institute of Management, Bangalore, India
      Pages: 1 - 11
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-04-12T06:58:44Z
      DOI: 10.1080/01621459.2023.2186885
       
  • Estimation and Inference for High-Dimensional Generalized Linear Models
           with Knowledge Transfer

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      Authors: Sai LiLinjun ZhangT. Tony CaiHongzhe Lia Institute of Statistics; Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
      Pages: 1 - 12
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-04-12T03:28:47Z
      DOI: 10.1080/01621459.2023.2184373
       
  • Factor Modeling for Clustering High-Dimensional Time Series

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      Authors: Bo ZhangGuangming PanQiwei YaoWang Zhoua Department of Statistics & Finance; International Institute of Finance, School of Management, University of Science Political Science, London, UKd Department of Statistics & Data Science, National University of Singapore, Singapore
      Pages: 1 - 12
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-04-05T01:30:08Z
      DOI: 10.1080/01621459.2023.2183132
       
  • Instrumental Variable Estimation of Marginal Structural Mean Models for
           Time-Varying Treatment

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      Authors: Haben MichaelYifan CuiScott A. LorchEric J. Tchetgen Tchetgena Department of Mathematics; Statistics, University of Massachusetts, Amherst, MAb Center for Data Science, Zhejiang University, Hangzhou, Chinac Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PAd Department of Statistics, University of Pennsylvania, Philadelphia, PA
      Pages: 1 - 12
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-04-03T07:43:06Z
      DOI: 10.1080/01621459.2023.2183131
       
  • Hypotheses Testing from Complex Survey Data Using Bootstrap Weights: A
           Unified Approach

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      Authors: Jae Kwang KimJ. N. K. RaoZhonglei Wanga Department of Statistics; Iowa State University, Ames, IAb School of Mathematics School of Economics, Xiamen University, Xiamen, Fujian, P.R. China
      Pages: 1 - 11
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-04-03T07:41:00Z
      DOI: 10.1080/01621459.2023.2183130
       
  • Online Smooth Backfitting for Generalized Additive Models

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      Authors: Ying YangFang YaoPeng Zhaoa Academy of Mathematics; Research Institute of Mathematical Sciences (RIMS), Jiangsu Normal University, Xuzhou, China
      Pages: 1 - 29
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-03-31T12:03:54Z
      DOI: 10.1080/01621459.2023.2182213
       
  • Network Inference Using the Hub Model and Variants

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      Authors: Zhibing HeYunpeng ZhaoPeter BickelCharles WekoDan ChengJirui Wanga Arizona State University; Tempe, AZb University of California, Berkeley, Berkeley, CAc U.S. Army, Arlington, TXd Medpace, Cincinnati, OH
      Pages: 1 - 10
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-03-22T05:40:37Z
      DOI: 10.1080/01621459.2023.2183133
       
  • Crowdsourcing Utilizing Subgroup Structure of Latent Factor Modeling

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      Authors: Qi XuYubai YuanJunhui WangAnnie Qua Department of Statistics; University of California Irvine, Irvine, CAb Department of Statistics, Penn State University, University Park, PAc Department of Statistics, Chinese University of Hong Kong, Shatin, Hong Kong
      Pages: 1 - 13
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-03-16T03:52:42Z
      DOI: 10.1080/01621459.2023.2178925
       
  • Bayesian Robustness: A Nonasymptotic Viewpoint

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      Authors: Kush BhatiaYi-An MaAnca D. DraganPeter L. BartlettMichael I. Jordana Department of Computer Science; Stanford University, Stanford, CAb Halicioğlu Data Science Institute, University of California San Diego, La Jolla, CAc Department of Electrical Engineering Computer Sciences, University of California, Berkeley, Berkeley, CAd Department of Statistics, University of California, Berkeley, Berkeley, CA
      Pages: 1 - 12
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-03-16T03:47:41Z
      DOI: 10.1080/01621459.2023.2174121
       
  • Intraday Periodic Volatility Curves

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      Authors: Torben G. AndersenTao SuViktor TodorovZhiyuan Zhanga Kellogg School of Management; Northwestern University, NBER, Economics, Shanghai, China
      Pages: 1 - 11
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-03-16T03:42:56Z
      DOI: 10.1080/01621459.2023.2177546
       
  • Nonlinear Causal Discovery with Confounders

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      Authors: Chunlin LiXiaotong ShenWei Pana School of Statistics; University of Minnesota, Minneapolis, MNb Division of Biostatistics, University of Minnesota, Minneapolis, MN
      Pages: 1 - 10
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-03-15T08:32:02Z
      DOI: 10.1080/01621459.2023.2179490
       
  • Solving Estimating Equations With Copulas

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      Authors: Thomas NaglerThibault Vattera Department of Statistics, LMU Munich, Munich, Germanyb Meta Platforms Inc; New York, NY
      Pages: 1 - 13
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-03-09T08:11:38Z
      DOI: 10.1080/01621459.2023.2177545
       
  • Bayesian Modeling with Spatial Curvature Processes

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      Authors: Aritra HalderSudipto BanerjeeDipak K. Deya Department of Biostatistics; Drexel University, Philadelphia, PAb Department of Biostatistics, University of California, Los Angeles, CAc Department of Statistics, University of Connecticut, Storrs, CT
      Pages: 1 - 13
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-03-08T05:34:55Z
      DOI: 10.1080/01621459.2023.2177166
       
  • A Two-Sample Conditional Distribution Test Using Conformal Prediction and
           Weighted Rank Sum

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      Authors: Xiaoyu HuJing Leia School of Mathematical Sciences; Center for Statistical Science, Peking University, Beijing, Chinab Department of Statistics Data Science, Carnegie Mellon University, Pittsburgh, PA
      Pages: 1 - 19
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-03-08T05:33:56Z
      DOI: 10.1080/01621459.2023.2177165
       
  • Optimal Linear Discriminant Analysis for High-Dimensional Functional Data

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      Authors: Kaijie XueJin YangFang Yaoa School of Statistics; Statistics, School of Mathematical Sciences, Center for Statistical Science, Peking University, Beijing, China
      Pages: 1 - 10
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-03-08T05:33:38Z
      DOI: 10.1080/01621459.2022.2164288
       
  • Copula Based Cox Proportional Hazards Models for Dependent Censoring

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      Authors: Negera Wakgari DeresaIngrid Van KeilegomORSTAT; KU Leuven, Leuven, Belgium
      Pages: 1 - 11
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-03-08T05:31:29Z
      DOI: 10.1080/01621459.2022.2161387
       
  • Skeleton Clustering: Dimension-Free Density-Aided Clustering

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      Authors: Zeyu WeiYen-Chi ChenDepartment of Statistics; University of Washington, Seattle, WA
      Pages: 1 - 12
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-03-06T07:13:35Z
      DOI: 10.1080/01621459.2023.2174122
       
  • Kernel Estimation of Bivariate Time-Varying Coefficient Model for
           Longitudinal Data with Terminal Event

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      Authors: Yue WangBin NanJohn D. Kalbfleischa Department of Statistics; University of California, Irvine, Irvine, CAb Department of Biostatistics, University of Michigan, Ann Arbor, MI
      Pages: 1 - 10
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-02-28T09:33:03Z
      DOI: 10.1080/01621459.2023.2169702
       
  • On Semiparametrically Dynamic Functional-Coefficient Autoregressive
           Spatio-Temporal Models with Irregular Location Wide Nonstationarity

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      Authors: Zudi LuXiaohang RenRongmao Zhanga Southampton Statistical Sciences Research Institute; Mathematics, Zhejiang Gongshang University, Hangzhou, Chinad School of Mathematical Science, Zhejiang University, Hangzhou, China
      Pages: 1 - 12
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-02-28T09:32:01Z
      DOI: 10.1080/01621459.2022.2161386
       
  • A General M-estimation Theory in Semi-Supervised Framework

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      Authors: Shanshan SongYuanyuan LinYong Zhoua Department of Statistics; The Chinese University of Hong Kong, Hong Kong, Chinab KLATASDS-MOE, School of Statistics Interdisciplinary Sciences, East China Normal University, Shanghai, China
      Pages: 1 - 11
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-02-28T09:31:53Z
      DOI: 10.1080/01621459.2023.2169699
       
  • Multiple Change Point Detection in Reduced Rank High Dimensional Vector
           Autoregressive Models

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      Authors: Peiliang BaiAbolfazl SafikhaniGeorge Michailidisa Department of Statistics; University of Florida, Gainesville, FLb Computer Information Science Engineering, University of Florida, Gainesville, FLc Informatics Institute, University of Florida, Gainesville, FL
      Pages: 1 - 17
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-02-28T09:31:49Z
      DOI: 10.1080/01621459.2022.2079514
       
  • Confidently Comparing Estimates with the c-value

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      Authors: Brian L. TrippeSameer K. DeshpandeTamara Brodericka Department of Statistics; Columbia University, New York, NYb Department of Statistics, University of Wisconsin–Madison, Madison, WIc Laboratory for Information Decision Systems, Massachusetts Institute of Technology, Cambridge, MA
      Pages: 1 - 12
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-02-24T03:35:32Z
      DOI: 10.1080/01621459.2022.2153688
       
  • Higher-Order Least Squares: Assessing Partial Goodness of Fit of Linear
           Causal Models

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      Authors: Christoph SchultheissPeter BühlmannMing Yuana Seminar for Statistics; ETH Zürich, Zurich, Switzerlandb Department of Statistics, Columbia University, New York, NY
      Pages: 1 - 13
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-02-24T03:30:31Z
      DOI: 10.1080/01621459.2022.2157728
       
  • Variational Bayes for Fast and Accurate Empirical Likelihood Inference

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      Authors: Weichang YuHoward D. BondellSchool of Mathematics; Statistics, The University of Melbourne, Melbourne, Australia
      Pages: 1 - 13
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-02-21T03:23:52Z
      DOI: 10.1080/01621459.2023.2169701
       
  • Are Latent Factor Regression and Sparse Regression Adequate'

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      Authors: Jianqing FanZhipeng LouMengxin Yua School of Data Science; Fudan University, Shanghai, Chinab Department of Operations Research Financial Engineering, Princeton University, Princeton, NJ
      Pages: 1 - 13
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-02-14T04:34:32Z
      DOI: 10.1080/01621459.2023.2169700
       
  • Guaranteed Functional Tensor Singular Value Decomposition

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      Authors: Rungang HanPixu ShiAnru R. Zhanga Department of Statistical Science; Duke University, Durham, NCb Department of Biostatistics & Bioinformatics, Duke University, Durham, NCc Department of Biostatistics & Bioinformatics, Computer Science, Mathematics, Statistical Science, Duke University, Durham, NC
      Pages: 1 - 13
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-02-06T02:42:28Z
      DOI: 10.1080/01621459.2022.2153689
       
  • Partially Linear Additive Regression with a General Hilbertian Response

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      Authors: Sungho ChoJeong Min JeonDongwoo KimKyusang YuByeong U. Parka Seoul National University; Seoul, South Koreab KU Leuven, Leuven, Belgiumc University of Namur, Namur, Belgiumd Konkuk University, Seoul, South Korea
      Pages: 1 - 15
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-01-20T07:31:04Z
      DOI: 10.1080/01621459.2022.2149407
       
  • Adaptive Algorithm for Multi-Armed Bandit Problem with High-Dimensional
           Covariates

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      Authors: Wei QianChing-Kang IngJi Liua Department of Applied Economics; Statistics, University of Delaware, Newark, DEb Institute of Statistics, National Tsing Hua University, Hsinchu, Taiwanc Meta Platforms, Inc., Seattle, WA
      Pages: 1 - 13
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-01-11T07:58:50Z
      DOI: 10.1080/01621459.2022.2152343
       
  • Proximal Learning for Individualized Treatment Regimes Under Unmeasured
           Confounding

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      Authors: Zhengling QiRui MiaoXiaoke Zhanga Department of Decision Sciences; The George Washington University, Washington, DCb Department of Statistics, University of California, Irvine, Irvine, CAc Department of Statistics, The George Washington University, Washington, DC
      Pages: 1 - 14
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-01-11T07:54:39Z
      DOI: 10.1080/01621459.2022.2147841
       
  • Simultaneous Decorrelation of Matrix Time Series

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      Authors: Yuefeng HanRong ChenCun-Hui ZhangQiwei Yaoa Department of Applied; Statistics, University of Notre Dame, Notre Dame, INb Department of Statistics, Rutgers University, Piscataway, NJc Department of Statistics, London School of Economics, London, UK
      Pages: 1 - 13
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-01-11T07:54:38Z
      DOI: 10.1080/01621459.2022.2151448
       
  • A Random Projection Approach to Hypothesis Tests in High-Dimensional
           Single-Index Models

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      Authors: Changyu LiuXingqiu ZhaoJian HuangDepartment of Applied Mathematics; The Hong Kong Polytechnic University, Hong Kong, Hong Kong
      Pages: 1 - 11
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-01-11T07:54:38Z
      DOI: 10.1080/01621459.2022.2156350
       
  • Finite-dimensional Discrete Random Structures and Bayesian Clustering

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      Authors: Antonio LijoiIgor PrünsterTommaso Rigona Department of Decision Sciences; Bocconi University, Milano, Italyb Bocconi Institute for Data Science Statistics, University of Milano-Bicocca, Milano, Italy
      Pages: 1 - 13
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-01-11T07:54:38Z
      DOI: 10.1080/01621459.2022.2149406
       
  • Robust Inference and Modeling of Mean and Dispersion for Generalized
           Linear Models

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      Authors: Jolien PonnetPieter SegaertStefan Van AelstTim Verdoncka Department of Mathematics; KU Leuven, Leuven, Belgiumb Department of Mathematics, University of Antwerp, Antwerp, Belgium
      Pages: 1 - 12
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-01-11T07:42:35Z
      DOI: 10.1080/01621459.2022.2140054
       
  • Fair Policy Targeting

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      Authors: Davide VivianoJelena Bradica Stanford Graduate School of Business; Stanford, CA, Halicioğlu Data Science Institute, University of California at San Diego, La Jolla, CA
      Pages: 1 - 14
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-01-10T06:57:24Z
      DOI: 10.1080/01621459.2022.2142591
       
  • Valid Model-Free Spatial Prediction

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      Authors: Huiying MaoRyan MartinBrian J. Reicha The Statistical; Applied Mathematical Sciences Institute, Research Triangle Park, NCb North Carolina State University, Raleigh, NC
      Pages: 1 - 11
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2023-01-05T02:14:46Z
      DOI: 10.1080/01621459.2022.2147531
       
 
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