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Journal of the American Statistical Association
Journal Prestige (SJR): 3.746
Citation Impact (citeScore): 2
Number of Followers: 73  
 
  Full-text available via subscription Subscription journal
ISSN (Print) 0162-1459 - ISSN (Online) 1537-274X
Published by American Statistical Association Homepage  [5 journals]
  • Measuring Housing Vitality from Multi-Source Big Data and Machine Learning

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      Authors: Yang Zhou, Lirong Xue, Zhengyu Shi, Libo Wu, Jianqing Fan
      Pages: 1045 - 1059
      Abstract: Volume 117, Issue 539, September 2022, Page 1045-1059
      .

      Citation: Journal of the American Statistical Association
      PubDate: 2022-09-12T05:52:10Z
      DOI: 10.1080/01621459.2022.2096038
      Issue No: Vol. 117, No. 539 (2022)
       
  • Comments on “Measuring Housing Vitality from Multi-Source Big Data
           and Machine Learning”

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      Authors: Wei Tu, Bei Jiang, Linglong Kong
      Pages: 1060 - 1062
      Abstract: Volume 117, Issue 539, September 2022, Page 1060-1062
      .

      Citation: Journal of the American Statistical Association
      PubDate: 2022-09-12T05:52:09Z
      DOI: 10.1080/01621459.2022.2097086
      Issue No: Vol. 117, No. 539 (2022)
       
  • Discussion of “Measuring Housing Vitality from Multi-Source Big Data and
           Machine Learning”

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      Authors: Sudipto Banerjee
      Pages: 1063 - 1065
      Abstract: Volume 117, Issue 539, September 2022, Page 1063-1065
      .

      Citation: Journal of the American Statistical Association
      PubDate: 2022-09-12T05:52:17Z
      DOI: 10.1080/01621459.2022.2098135
      Issue No: Vol. 117, No. 539 (2022)
       
  • Rejoinder

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      Authors: Yang Zhou, Lirong Xue, Zhengyu Shi, Libo Wu, Jianqing Fan
      Pages: 1066 - 1067
      Abstract: Volume 117, Issue 539, September 2022, Page 1066-1067
      .

      Citation: Journal of the American Statistical Association
      PubDate: 2022-09-12T05:51:39Z
      DOI: 10.1080/01621459.2022.2101797
      Issue No: Vol. 117, No. 539 (2022)
       
  • Dynamic Stochastic Blockmodel Regression for Network Data: Application to
           International Militarized Conflicts

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      Authors: Santiago Olivella, Tyler Pratt, Kosuke Imai
      Pages: 1068 - 1081
      Abstract: Volume 117, Issue 539, September 2022, Page 1068-1081
      .

      Citation: Journal of the American Statistical Association
      PubDate: 2022-02-28T03:29:36Z
      DOI: 10.1080/01621459.2021.2024436
      Issue No: Vol. 117, No. 539 (2022)
       
  • A Mechanistic Model of Annual Sulfate Concentrations in the United States

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      Authors: Nathan B. Wikle, Ephraim M. Hanks, Lucas R. F. Henneman, Corwin M. Zigler
      Pages: 1082 - 1093
      Abstract: Volume 117, Issue 539, September 2022, Page 1082-1093
      .

      Citation: Journal of the American Statistical Association
      PubDate: 2022-03-17T04:40:31Z
      DOI: 10.1080/01621459.2022.2027774
      Issue No: Vol. 117, No. 539 (2022)
       
  • Copula Regression for Compound Distributions with Endogenous Covariates
           with Applications in Insurance Deductible Pricing

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      Authors: Peng Shi, Gee Y. Lee
      Pages: 1094 - 1109
      Abstract: Volume 117, Issue 539, September 2022, Page 1094-1109
      .

      Citation: Journal of the American Statistical Association
      PubDate: 2022-03-22T04:04:45Z
      DOI: 10.1080/01621459.2022.2040519
      Issue No: Vol. 117, No. 539 (2022)
       
  • High-Dimensional Mediation Analysis for Selecting DNA Methylation Loci
           Mediating Childhood Trauma and Cortisol Stress Reactivity

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      Authors: Xu Guo, Runze Li, Jingyuan Liu, Mudong Zeng
      Pages: 1110 - 1121
      Abstract: Volume 117, Issue 539, September 2022, Page 1110-1121
      .

      Citation: Journal of the American Statistical Association
      PubDate: 2022-05-25T05:51:01Z
      DOI: 10.1080/01621459.2022.2053136
      Issue No: Vol. 117, No. 539 (2022)
       
  • Bayesian Inferences on Neural Activity in EEG-Based Brain-Computer
           Interface

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      Authors: Tianwen Ma, Yang Li, Jane E. Huggins, Ji Zhu, Jian Kang
      Pages: 1122 - 1133
      Abstract: Volume 117, Issue 539, September 2022, Page 1122-1133
      .

      Citation: Journal of the American Statistical Association
      PubDate: 2022-03-18T04:55:40Z
      DOI: 10.1080/01621459.2022.2041422
      Issue No: Vol. 117, No. 539 (2022)
       
  • A Multimodal Multilevel Neuroimaging Model for Investigating Brain
           Connectome Development

         This is an Open Access Article Open Access Article

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      Authors: Yingtian Hu, Mahmoud Zeydabadinezhad, Longchuan Li, Ying Guo
      Pages: 1134 - 1148
      Abstract: Volume 117, Issue 539, September 2022, Page 1134-1148
      .

      Citation: Journal of the American Statistical Association
      PubDate: 2022-04-25T08:17:59Z
      DOI: 10.1080/01621459.2022.2055559
      Issue No: Vol. 117, No. 539 (2022)
       
  • Confidence Intervals for Nonparametric Empirical Bayes Analysis

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      Authors: Nikolaos Ignatiadis, Stefan Wager
      Pages: 1149 - 1166
      Abstract: Volume 117, Issue 539, September 2022, Page 1149-1166
      .

      Citation: Journal of the American Statistical Association
      PubDate: 2022-03-14T06:27:34Z
      DOI: 10.1080/01621459.2021.2008403
      Issue No: Vol. 117, No. 539 (2022)
       
  • Nonparametric Empirical Bayes Prediction

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      Authors: Noel Cressie
      Pages: 1167 - 1170
      Abstract: Volume 117, Issue 539, September 2022, Page 1167-1170
      .

      Citation: Journal of the American Statistical Association
      PubDate: 2022-09-12T05:52:37Z
      DOI: 10.1080/01621459.2022.2096040
      Issue No: Vol. 117, No. 539 (2022)
       
  • Discussion of “Confidence Intervals for Nonparametric Empirical Bayes
           Analysis” by Ignatiadis and Wager

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      Authors: Subhashis Ghosal
      Pages: 1171 - 1174
      Abstract: Volume 117, Issue 539, September 2022, Page 1171-1174
      .

      Citation: Journal of the American Statistical Association
      PubDate: 2022-09-12T05:51:18Z
      DOI: 10.1080/01621459.2022.2093726
      Issue No: Vol. 117, No. 539 (2022)
       
  • Coverage Properties of Empirical Bayes Intervals: A Discussion of
           “Confidence Intervals for Nonparametric Empirical Bayes Analysis” by
           Ignatiadis and Wager

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      Authors: Peter Hoff
      Pages: 1175 - 1178
      Abstract: Volume 117, Issue 539, September 2022, Page 1175-1178
      .

      Citation: Journal of the American Statistical Association
      PubDate: 2022-09-12T05:51:08Z
      DOI: 10.1080/01621459.2022.2093728
      Issue No: Vol. 117, No. 539 (2022)
       
  • Discussion of “Confidence Intervals for Nonparametric Empirical Bayes
           Analysis” by Nikolaos Ignatiadis and Stefan Wager

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      Authors: Bradley Efron
      Pages: 1179 - 1180
      Abstract: Volume 117, Issue 539, September 2022, Page 1179-1180
      .

      Citation: Journal of the American Statistical Association
      PubDate: 2022-09-12T05:51:25Z
      DOI: 10.1080/01621459.2022.2093725
      Issue No: Vol. 117, No. 539 (2022)
       
  • Comment on: “Confidence Intervals for Nonparametric Empirical Bayes
           Analysis” by Ignatiadis and Wager

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      Authors: Guido Imbens
      Pages: 1181 - 1182
      Abstract: Volume 117, Issue 539, September 2022, Page 1181-1182
      .

      Citation: Journal of the American Statistical Association
      PubDate: 2022-09-12T05:50:19Z
      DOI: 10.1080/01621459.2022.2102501
      Issue No: Vol. 117, No. 539 (2022)
       
  • Discussion of “Confidence Intervals for Nonparametric Empirical
           Bayes Analysis”

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      Authors: Marianna Pensky
      Pages: 1183 - 1185
      Abstract: Volume 117, Issue 539, September 2022, Page 1183-1185
      .

      Citation: Journal of the American Statistical Association
      PubDate: 2022-09-12T05:52:09Z
      DOI: 10.1080/01621459.2022.2096039
      Issue No: Vol. 117, No. 539 (2022)
       
  • Discussion of “Confidence Intervals for Nonparametric Empirical
           Bayes Analysis”

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      Authors: Dongyue Xie, Matthew Stephens
      Pages: 1186 - 1191
      Abstract: Volume 117, Issue 539, September 2022, Page 1186-1191
      .

      Citation: Journal of the American Statistical Association
      PubDate: 2022-09-12T05:51:23Z
      DOI: 10.1080/01621459.2022.2093727
      Issue No: Vol. 117, No. 539 (2022)
       
  • Rejoinder: Confidence Intervals for Nonparametric Empirical Bayes Analysis

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      Authors: Nikolaos Ignatiadis, Stefan Wager
      Pages: 1192 - 1199
      Abstract: Volume 117, Issue 539, September 2022, Page 1192-1199
      .

      Citation: Journal of the American Statistical Association
      PubDate: 2022-09-12T05:51:17Z
      DOI: 10.1080/01621459.2022.2093729
      Issue No: Vol. 117, No. 539 (2022)
       
  • An Invitation to Sequential Monte Carlo Samplers

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      Authors: Chenguang Dai, Jeremy Heng, Pierre E. Jacob, Nick Whiteley
      Pages: 1587 - 1600
      Abstract: Volume 117, Issue 539, September 2022, Page 1587-1600
      .

      Citation: Journal of the American Statistical Association
      PubDate: 2022-07-11T05:43:58Z
      DOI: 10.1080/01621459.2022.2087659
      Issue No: Vol. 117, No. 539 (2022)
       
  • A History of Data Visualization and Graphic Communication,

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      Authors: Hyunwoo Park
      Pages: 1601 - 1603
      Abstract: Volume 117, Issue 539, September 2022, Page 1601-1603
      .

      Citation: Journal of the American Statistical Association
      PubDate: 2022-07-29T03:34:21Z
      DOI: 10.1080/01621459.2022.2098134
      Issue No: Vol. 117, No. 539 (2022)
       
  • Foundations of Statistics for Data Scientists: With R and Python

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      Authors: Nicholas J. Horton
      Pages: 1603 - 1604
      Abstract: Volume 117, Issue 539, September 2022, Page 1603-1604
      .

      Citation: Journal of the American Statistical Association
      PubDate: 2022-08-18T11:47:57Z
      DOI: 10.1080/01621459.2022.2104726
      Issue No: Vol. 117, No. 539 (2022)
       
  • Modeling Point Referenced Spatial Count Data: A Poisson Process Approach

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      Authors: Diego Morales-Navarrete, Moreno Bevilacqua, Christian Caamaño-Carrillo, Luis M. Castro
      Pages: 1 - 14
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2022-11-29T03:49:19Z
      DOI: 10.1080/01621459.2022.2140053
       
  • Statistical Learning for Individualized Asset Allocation

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      Authors: Yi Ding, Yingying Li, Rui Song
      Pages: 1 - 11
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2022-11-29T03:47:20Z
      DOI: 10.1080/01621459.2022.2139265
       
  • Bayesian Spatial Blind Source Separation via the Thresholded Gaussian
           Process

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      Authors: Ben Wu, Ying Guo, Jian Kang
      Pages: 1 - 12
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2022-11-28T03:16:55Z
      DOI: 10.1080/01621459.2022.2123336
       
  • Multi-Task Learning with High-Dimensional Noisy Images

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      Authors: Xin Ma, Suprateek Kundu
      Pages: 1 - 14
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2022-11-17T03:23:23Z
      DOI: 10.1080/01621459.2022.2140052
       
  • Anomaly Detection for a Large Number of Streams: A Permutation-Based
           Higher Criticism Approach

         This is an Open Access Article Open Access Article

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      Authors: Ivo V. Stoepker, Rui M. Castro, Ery Arias-Castro, Edwin van den Heuvel
      Pages: 1 - 25
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2022-11-16T05:10:53Z
      DOI: 10.1080/01621459.2022.2126361
       
  • Sampling: Design and Analysis, 3rd ed.

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      Authors: S. Lynne Stokes
      Pages: 1 - 2
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2022-11-16T05:09:53Z
      DOI: 10.1080/01621459.2022.2139708
       
  • Bootstrapping Extreme Value Estimators
         This is an Open Access Article Open Access Article

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      Authors: Laurens de Haan, Chen Zhou
      Pages: 1 - 12
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2022-11-15T10:15:29Z
      DOI: 10.1080/01621459.2022.2120400
       
  • Estimating Optimal Infinite Horizon Dynamic Treatment Regimes via
           pT-Learning

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      Authors: Wenzhuo Zhou, Ruoqing Zhu, Annie Qu
      Pages: 1 - 14
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2022-11-14T06:13:01Z
      DOI: 10.1080/01621459.2022.2138760
       
  • High-Dimensional Portfolio Selection with Cardinality Constraints
         This is an Open Access Article Open Access Article

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      Authors: Jin-Hong Du, Yifeng Guo, Xueqin Wang
      Pages: 1 - 13
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2022-11-14T06:10:48Z
      DOI: 10.1080/01621459.2022.2133718
       
  • A Mass-Shifting Phenomenon of Truncated Multivariate Normal Priors

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      Authors: Shuang Zhou, Pallavi Ray, Debdeep Pati, Anirban Bhattacharya
      Pages: 1 - 15
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2022-11-12T01:50:18Z
      DOI: 10.1080/01621459.2022.2129059
       
  • Ultra-High Dimensional Quantile Regression for Longitudinal Data: An
           Application to Blood Pressure Analysis

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      Authors: Tianhai Zu, Heng Lian, Brittany Green, Yan Yu
      Pages: 1 - 12
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2022-11-11T09:11:17Z
      DOI: 10.1080/01621459.2022.2128806
       
  • Distribution of Distances based Object Matching: Asymptotic Inference

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      Authors: Christoph Alexander Weitkamp, Katharina Proksch, Carla Tameling, Axel Munk
      Pages: 1 - 14
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2022-11-08T03:42:41Z
      DOI: 10.1080/01621459.2022.2127360
       
  • Estimating the Spectral Density at Frequencies Near Zero

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      Authors: Tucker McElroy, Dimitris N. Politis
      Pages: 1 - 29
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2022-11-08T03:37:05Z
      DOI: 10.1080/01621459.2022.2133719
       
  • Inference in Heavy-Tailed Nonstationary Multivariate Time Series
         This is an Open Access Article Open Access Article

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      Authors: Matteo Barigozzi, Giuseppe Cavaliere, Lorenzo Trapani
      Pages: 1 - 17
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2022-11-04T07:50:24Z
      DOI: 10.1080/01621459.2022.2128807
       
  • Fisher-Pitman Permutation Tests Based on Nonparametric Poisson Mixtures
           with Application to Single Cell Genomics

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      Authors: Zhen Miao, Weihao Kong, Ramya Korlakai Vinayak, Wei Sun, Fang Han
      Pages: 1 - 13
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2022-11-04T07:49:53Z
      DOI: 10.1080/01621459.2022.2120401
       
  • Capture-Recapture Models with Heterogeneous Temporary Emigration
         This is an Open Access Article Open Access Article

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      Authors: Eleni Matechou, Raffaele Argiento
      Pages: 1 - 14
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2022-11-03T01:48:04Z
      DOI: 10.1080/01621459.2022.2123332
       
  • Fisher’s Combined Probability Test for High-Dimensional Covariance
           Matrices

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      Authors: Xiufan Yu, Danning Li, Lingzhou Xue
      Pages: 1 - 14
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2022-11-03T01:47:32Z
      DOI: 10.1080/01621459.2022.2126781
       
  • Policy Optimization Using Semiparametric Models for Dynamic Pricing

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      Authors: Jianqing Fan, Yongyi Guo, Mengxin Yu
      Pages: 1 - 29
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2022-11-03T01:47:16Z
      DOI: 10.1080/01621459.2022.2128359
       
  • An Algebraic Estimator for Large Spectral Density Matrices

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      Authors: Matteo Barigozzi, Matteo Farnè
      Pages: 1 - 13
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2022-11-03T01:47:14Z
      DOI: 10.1080/01621459.2022.2126780
       
  • Modeling and Active Learning for Experiments with Quantitative-Sequence
           Factors

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      Authors: Qian Xiao, Yaping Wang, Abhyuday Mandal, Xinwei Deng
      Pages: 1 - 15
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2022-11-03T01:46:46Z
      DOI: 10.1080/01621459.2022.2123335
       
  • Assumption-Lean Cox Regression

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      Authors: Stijn Vansteelandt, Oliver Dukes, Kelly Van Lancker, Torben Martinussen
      Pages: 1 - 10
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2022-11-03T01:46:46Z
      DOI: 10.1080/01621459.2022.2126362
       
  • Interpolating Population Distributions using Public-Use Data: An
           Application to Income Segregation using American Community Survey Data

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      Authors: Matthew Simpson, Scott H. Holan, Christopher K. Wikle, Jonathan R. Bradley
      Pages: 1 - 13
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2022-11-03T01:46:46Z
      DOI: 10.1080/01621459.2022.2126779
       
  • To Adjust or not to Adjust' Estimating the Average Treatment Effect in
           Randomized Experiments with Missing Covariates

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      Authors: Anqi Zhao, Peng Ding
      Pages: 1 - 11
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2022-10-17T07:05:39Z
      DOI: 10.1080/01621459.2022.2123814
       
  • Using SVD for Topic Modeling

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      Authors: Zheng Tracy Ke, Minzhe Wang
      Pages: 1 - 16
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2022-10-11T12:57:36Z
      DOI: 10.1080/01621459.2022.2123813
       
  • Crop Yield Prediction Using Bayesian Spatially Varying Coefficient Models
           with Functional Predictors

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      Authors: Yeonjoo Park, Bo Li, Yehua Li
      Pages: 1 - 14
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2022-10-11T12:55:09Z
      DOI: 10.1080/01621459.2022.2123333
       
  • Fast and Numerically Stable Particle-Based Online Additive Smoothing: The
           AdaSmooth Algorithm

         This is an Open Access Article Open Access Article

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      Authors: Alessandro Mastrototaro, Jimmy Olsson, Johan Alenlöv
      Pages: 1 - 12
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2022-10-11T12:53:20Z
      DOI: 10.1080/01621459.2022.2118602
       
  • Subspace Estimation with Automatic Dimension and Variable Selection in
           Sufficient Dimension Reduction

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      Authors: Jing Zeng, Qing Mai, Xin Zhang
      Pages: 1 - 13
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2022-10-11T12:49:19Z
      DOI: 10.1080/01621459.2022.2118601
       
  • Dynamic Principal Component Analysis in High Dimensions

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      Authors: Xiaoyu Hu, Fang Yao
      Pages: 1 - 12
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2022-10-11T12:47:29Z
      DOI: 10.1080/01621459.2022.2115917
       
  • Optimal One-Pass Nonparametric Estimation Under Memory Constraint

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      Authors: Mingxue Quan, Zhenhua Lin
      Pages: 1 - 12
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2022-10-11T12:43:53Z
      DOI: 10.1080/01621459.2022.2115374
       
  • An Additive Graphical Model for Discrete Data

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      Authors: Jun Tao, Bing Li, Lingzhou Xue
      Pages: 1 - 14
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2022-10-11T06:17:15Z
      DOI: 10.1080/01621459.2022.2119983
       
  • Selective Inference for Hierarchical Clustering

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      Authors: Lucy L. Gao, Jacob Bien, Daniela Witten
      Pages: 1 - 11
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2022-10-11T06:07:13Z
      DOI: 10.1080/01621459.2022.2116331
       
  • Optimal Nonparametric Inference with Two-Scale Distributional Nearest
           Neighbors

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      Authors: Emre Demirkaya, Yingying Fan, Lan Gao, Jinchi Lv, Patrick Vossler, Jingbo Wang
      Pages: 1 - 11
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2022-10-05T07:26:32Z
      DOI: 10.1080/01621459.2022.2115375
       
  • Off-Policy Confidence Interval Estimation with Confounded Markov Decision
           Process

         This is an Open Access Article Open Access Article

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      Authors: Chengchun Shi, Jin Zhu, Shen Ye, Shikai Luo, Hongtu Zhu, Rui Song
      Pages: 1 - 12
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2022-10-05T07:24:50Z
      DOI: 10.1080/01621459.2022.2110878
       
  • iProMix: A Mixture Model for Studying the Function of ACE2 based on Bulk
           Proteogenomic Data

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      Authors: Xiaoyu Song, Jiayi Ji, Pei Wang
      Pages: 1 - 13
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2022-10-05T07:24:38Z
      DOI: 10.1080/01621459.2022.2110876
       
  • Scaled Process Priors for Bayesian Nonparametric Estimation of the Unseen
           Genetic Variation

         This is an Open Access Article Open Access Article

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      Authors: Federico Camerlenghi, Stefano Favaro, Lorenzo Masoero, Tamara Broderick
      Pages: 1 - 12
      Abstract: .

      Citation: Journal of the American Statistical Association
      PubDate: 2022-09-30T02:04:34Z
      DOI: 10.1080/01621459.2022.2115918
       
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      DOI: 10.1080/01621459.2022.2106868
       
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  • Mapping the Genetic-Imaging-Clinical Pathway with Applications to
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  • Approximate Selective Inference via Maximum Likelihood

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  • Improved Small Domain Estimation via Compromise Regression Weights

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  • Spatio-Temporal Cross-Covariance Functions under the Lagrangian Framework
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  • Transformation-Invariant Learning of Optimal Individualized Decision Rules
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  • Efficient Estimation for Censored Quantile Regression
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  • Transfer Learning Under High-Dimensional Generalized Linear Models

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  • Inference for Local Parameters in Convexity Constrained Models

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  • A Bayesian Approach to Multiple-Output Quantile Regression

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  • The Maximum of the Periodogram of a Sequence of Functional Data

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  • Sharp Sensitivity Analysis for Inverse Propensity Weighting via Quantile
           Balancing

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  • Divide-and-Conquer: A Distributed Hierarchical Factor Approach to Modeling
           Large-Scale Time Series Data

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  • Covariance Estimation for Matrix-valued Data

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  • False Discovery Rate Control via Data Splitting

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  • Covariate-Assisted Sparse Tensor Completion

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  • Self-supervised Metric Learning in Multi-View Data: A Downstream Task
           Perspective

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  • Power-Enhanced Simultaneous Test of High-Dimensional Mean Vectors and
           Covariance Matrices with Application to Gene-Set Testing

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      DOI: 10.1080/01621459.2022.2061354
       
  • Functional Mixed Effects Clustering with Application to Longitudinal
           Urologic Chronic Pelvic Pain Syndrome Symptom Data

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  • Generalized Low-Rank Plus Sparse Tensor Estimation by Fast Riemannian
           Optimization

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  • Model-Free Conditional Feature Screening with FDR Control

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  • Random Surface Covariance Estimation by Shifted Partial Tracing
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  • Bayesian Modeling of Sequential Discoveries

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  • Variation and Covariation in Large-Scale Replication Projects: An
           Evaluation of Replicability

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  • Metropolis–Hastings via Classification

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  • Distribution-Free Prediction Sets for Two-Layer Hierarchical Models

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      DOI: 10.1080/01621459.2022.2060112
       
  • Prior-Preconditioned Conjugate Gradient Method for Accelerated Gibbs
           Sampling in “Large n, Large p” Bayesian Sparse Regression

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      DOI: 10.1080/01621459.2022.2057859
       
  • Sharp Nonparametric Bounds for Decomposition Effects with Two Binary
           Mediators

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  • Efficient Estimation in the Fine and Gray Model

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      DOI: 10.1080/01621459.2022.2057860
       
  • Efficient Fully Distribution-Free Center-Outward Rank Tests for
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  • A General Pairwise Comparison Model for Extremely Sparse Networks

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  • Sparse Reduced Rank Huber Regression in High Dimensions

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  • Survival Analysis via Ordinary Differential Equations

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  • Robust Estimation of Large Panels with Factor Structures
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  • On Robustness of Individualized Decision Rules

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      DOI: 10.1080/01621459.2022.2038180
       
  • Estimation of Copulas via Maximum Mean Discrepancy

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      PubDate: 2022-03-31T01:32:56Z
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  • Generalized Liquid Association Analysis for Multimodal Data Integration

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  • Testing the Effects of High-Dimensional Covariates via Aggregating
           Cumulative Covariances

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      DOI: 10.1080/01621459.2022.2044334
       
  • Understanding Implicit Regularization in Over-Parameterized Single Index
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      PubDate: 2022-03-27T04:40:51Z
      DOI: 10.1080/01621459.2022.2044824
       
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  • Bias-Adjusted Spectral Clustering in Multi-Layer Stochastic Block Models

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  • High-Dimensional Gaussian Graphical Regression Models with Covariates

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      PubDate: 2022-01-31T04:42:57Z
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      DOI: 10.1080/01621459.2021.2021919
       
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      DOI: 10.1080/01621459.2021.2013242
       
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           Label-Noise-Adjusted Neyman–Pearson Umbrella Algorithm

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      DOI: 10.1080/01621459.2021.2016423
       
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           Application to Classification in High Dimensional Space

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      DOI: 10.1080/01621459.2021.2003202
       
  • Threshold Selection in Feature Screening for Error Rate Control

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  • Pseudo-Bayesian Classified Mixed Model Prediction

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  • High-Order Joint Embedding for Multi-Level Link Prediction

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  • A General Framework for Inference on Algorithm-Agnostic Variable
           Importance

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      PubDate: 2022-01-05T08:15:32Z
      DOI: 10.1080/01621459.2021.2003200
       
  • Classification Trees for Imbalanced Data: Surface-to-Volume Regularization

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      DOI: 10.1080/01621459.2021.2005609
       
  • Nonparametric Functional Graphical Modeling Through Functional Additive
           Regression Operator

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      DOI: 10.1080/01621459.2021.2006667
       
  • Transport Monte Carlo: High-Accuracy Posterior Approximation via Random
           Transport

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  • Test of Weak Separability for Spatially Stationary Functional Field

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      DOI: 10.1080/01621459.2021.2002156
       
  • Kernel-Based Partial Permutation Test for Detecting Heterogeneous
           Functional Relationship

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      Citation: Journal of the American Statistical Association
      PubDate: 2022-01-05T08:10:52Z
      DOI: 10.1080/01621459.2021.2000867
       
 
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