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  Subjects -> STATISTICS (Total: 130 journals)
Showing 1 - 151 of 151 Journals sorted by number of followers
Review of Economics and Statistics     Hybrid Journal   (Followers: 189)
Statistics in Medicine     Hybrid Journal   (Followers: 140)
Journal of Econometrics     Hybrid Journal   (Followers: 83)
Journal of the American Statistical Association     Full-text available via subscription   (Followers: 76, SJR: 3.746, CiteScore: 2)
Advances in Data Analysis and Classification     Hybrid Journal   (Followers: 52)
Biometrics     Hybrid Journal   (Followers: 49)
Sociological Methods & Research     Hybrid Journal   (Followers: 47)
Journal of the Royal Statistical Society, Series B (Statistical Methodology)     Hybrid Journal   (Followers: 42)
Journal of Business & Economic Statistics     Full-text available via subscription   (Followers: 41, SJR: 3.664, CiteScore: 2)
Computational Statistics & Data Analysis     Hybrid Journal   (Followers: 37)
Journal of the Royal Statistical Society Series C (Applied Statistics)     Hybrid Journal   (Followers: 36)
Oxford Bulletin of Economics and Statistics     Hybrid Journal   (Followers: 35)
Journal of Risk and Uncertainty     Hybrid Journal   (Followers: 34)
Journal of the Royal Statistical Society, Series A (Statistics in Society)     Hybrid Journal   (Followers: 29)
Journal of Urbanism: International Research on Placemaking and Urban Sustainability     Hybrid Journal   (Followers: 28)
The American Statistician     Full-text available via subscription   (Followers: 25)
Statistical Methods in Medical Research     Hybrid Journal   (Followers: 23)
Journal of Computational & Graphical Statistics     Full-text available via subscription   (Followers: 21)
Journal of Forecasting     Hybrid Journal   (Followers: 21)
Journal of Applied Statistics     Hybrid Journal   (Followers: 20)
British Journal of Mathematical and Statistical Psychology     Full-text available via subscription   (Followers: 19)
Statistical Modelling     Hybrid Journal   (Followers: 18)
International Journal of Quality, Statistics, and Reliability     Open Access   (Followers: 18)
Journal of Statistical Software     Open Access   (Followers: 18, SJR: 13.802, CiteScore: 16)
Journal of Time Series Analysis     Hybrid Journal   (Followers: 17)
Journal of Biopharmaceutical Statistics     Hybrid Journal   (Followers: 17)
Computational Statistics     Hybrid Journal   (Followers: 16)
Risk Management     Hybrid Journal   (Followers: 16)
Decisions in Economics and Finance     Hybrid Journal   (Followers: 15)
Statistics and Computing     Hybrid Journal   (Followers: 14)
Demographic Research     Open Access   (Followers: 14)
Australian & New Zealand Journal of Statistics     Hybrid Journal   (Followers: 13)
Statistics & Probability Letters     Hybrid Journal   (Followers: 13)
Geneva Papers on Risk and Insurance - Issues and Practice     Hybrid Journal   (Followers: 13)
Journal of Statistical Physics     Hybrid Journal   (Followers: 12)
Structural and Multidisciplinary Optimization     Hybrid Journal   (Followers: 12)
Statistics: A Journal of Theoretical and Applied Statistics     Hybrid Journal   (Followers: 11)
International Statistical Review     Hybrid Journal   (Followers: 10)
The Canadian Journal of Statistics / La Revue Canadienne de Statistique     Hybrid Journal   (Followers: 10)
Communications in Statistics - Theory and Methods     Hybrid Journal   (Followers: 10)
Journal of Probability and Statistics     Open Access   (Followers: 10)
Advances in Complex Systems     Hybrid Journal   (Followers: 10)
Pharmaceutical Statistics     Hybrid Journal   (Followers: 9)
Scandinavian Journal of Statistics     Hybrid Journal   (Followers: 9)
Communications in Statistics - Simulation and Computation     Hybrid Journal   (Followers: 9)
Stata Journal     Full-text available via subscription   (Followers: 9)
Journal of Educational and Behavioral Statistics     Hybrid Journal   (Followers: 8)
Multivariate Behavioral Research     Hybrid Journal   (Followers: 8)
Teaching Statistics     Hybrid Journal   (Followers: 8)
Law, Probability and Risk     Hybrid Journal   (Followers: 8)
Fuzzy Optimization and Decision Making     Hybrid Journal   (Followers: 8)
Current Research in Biostatistics     Open Access   (Followers: 8)
Environmental and Ecological Statistics     Hybrid Journal   (Followers: 7)
Journal of Combinatorial Optimization     Hybrid Journal   (Followers: 7)
Journal of Global Optimization     Hybrid Journal   (Followers: 7)
Journal of Statistical Planning and Inference     Hybrid Journal   (Followers: 7)
Queueing Systems     Hybrid Journal   (Followers: 7)
Argumentation et analyse du discours     Open Access   (Followers: 7)
Handbook of Statistics     Full-text available via subscription   (Followers: 7)
Research Synthesis Methods     Hybrid Journal   (Followers: 7)
Asian Journal of Mathematics & Statistics     Open Access   (Followers: 7)
Biometrical Journal     Hybrid Journal   (Followers: 6)
Journal of Nonparametric Statistics     Hybrid Journal   (Followers: 6)
Lifetime Data Analysis     Hybrid Journal   (Followers: 6)
Significance     Hybrid Journal   (Followers: 6)
International Journal of Computational Economics and Econometrics     Hybrid Journal   (Followers: 6)
Journal of Mathematics and Statistics     Open Access   (Followers: 6)
Applied Categorical Structures     Hybrid Journal   (Followers: 5)
Engineering With Computers     Hybrid Journal   (Followers: 5)
Optimization Methods and Software     Hybrid Journal   (Followers: 5)
Statistical Methods and Applications     Hybrid Journal   (Followers: 5)
CHANCE     Hybrid Journal   (Followers: 5)
ESAIM: Probability and Statistics     Open Access   (Followers: 4)
Mathematical Methods of Statistics     Hybrid Journal   (Followers: 4)
Metrika     Hybrid Journal   (Followers: 4)
Statistical Papers     Hybrid Journal   (Followers: 4)
TEST     Hybrid Journal   (Followers: 3)
Journal of Algebraic Combinatorics     Hybrid Journal   (Followers: 3)
Journal of Theoretical Probability     Hybrid Journal   (Followers: 3)
Statistical Inference for Stochastic Processes     Hybrid Journal   (Followers: 3)
Monthly Statistics of International Trade - Statistiques mensuelles du commerce international     Full-text available via subscription   (Followers: 3)
Handbook of Numerical Analysis     Full-text available via subscription   (Followers: 3)
Sankhya A     Hybrid Journal   (Followers: 3)
Journal of Statistical and Econometric Methods     Open Access   (Followers: 3)
AStA Advances in Statistical Analysis     Hybrid Journal   (Followers: 2)
Extremes     Hybrid Journal   (Followers: 2)
Optimization Letters     Hybrid Journal   (Followers: 2)
Stochastic Models     Hybrid Journal   (Followers: 2)
Stochastics An International Journal of Probability and Stochastic Processes: formerly Stochastics and Stochastics Reports     Hybrid Journal   (Followers: 2)
IEA World Energy Statistics and Balances -     Full-text available via subscription   (Followers: 2)
Building Simulation     Hybrid Journal   (Followers: 2)
Technology Innovations in Statistics Education (TISE)     Open Access   (Followers: 2)
International Journal of Stochastic Analysis     Open Access   (Followers: 2)
Measurement Interdisciplinary Research and Perspectives     Hybrid Journal   (Followers: 1)
Statistica Neerlandica     Hybrid Journal   (Followers: 1)
Sequential Analysis: Design Methods and Applications     Hybrid Journal   (Followers: 1)
Wiley Interdisciplinary Reviews - Computational Statistics     Hybrid Journal   (Followers: 1)
Statistics and Economics     Open Access  
Review of Socionetwork Strategies     Hybrid Journal  
SourceOECD Measuring Globalisation Statistics - SourceOCDE Mesurer la mondialisation - Base de donnees statistiques     Full-text available via subscription  
Journal of the Korean Statistical Society     Hybrid Journal  

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Similar Journals
Journal Cover
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]
  • Genetic Underpinnings of Brain Structural Connectome for Young Adults

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      Authors: Yize ZhaoChanggee ChangJingwen ZhangZhengwu Zhanga Department of Biostatistics; Yale University, New Haven, CTb Department of Biostatistics, Epidemiology Operations Research, University of North Carolina at Chapel Hill, Chapel Hill, NC
      Pages: 1473 - 1487
      Abstract: Volume 118, Issue 543, September 2023, Page 1473-1487
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      Citation: Journal of the American Statistical Association
      PubDate: 2023-02-06T02:42:21Z
      DOI: 10.1080/01621459.2022.2156349
      Issue No: Vol. 118, No. 543 (2023)
       
  • Assessing the Most Vulnerable Subgroup to Type II Diabetes Associated with
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      Authors: Xinzhou GuoWaverly WeiMolei LiuTianxi CaiChong WuJingshen Wanga Department of Mathematics; Hong Kong University of Science Technology, Hong Kong, Hong Kong;b Division of Biostatistics, UC Berkeley, Berkeley, CA;c Department of Biostatistics, Columbia Mailman School of Public Health, New York, NY;d Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA;e Department of Biostatistics, MD Anderson Cancer Center, Houston, TX
      Pages: 1488 - 1499
      Abstract: Volume 118, Issue 543, September 2023, Page 1488-1499
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      Citation: Journal of the American Statistical Association
      PubDate: 2023-01-20T07:31:03Z
      DOI: 10.1080/01621459.2022.2157727
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  • Compositional Graphical Lasso Resolves the Impact of Parasitic Infection
           on Gut Microbial Interaction Networks in a Zebrafish Model

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      Authors: Chuan TianDuo JiangAustin HammerThomas SharptonYuan Jianga Department of Statistics; Oregon State University, Corvallis, ORb Department of Microbiology, Oregon State University, Corvallis, OR
      Pages: 1500 - 1514
      Abstract: Volume 118, Issue 543, September 2023, Page 1500-1514
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      Citation: Journal of the American Statistical Association
      PubDate: 2023-02-28T09:32:44Z
      DOI: 10.1080/01621459.2022.2164287
      Issue No: Vol. 118, No. 543 (2023)
       
  • A Correlated Network Scale-Up Model: Finding the Connection Between
           Subpopulations

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      Authors: Ian LagaLe BaoXiaoyue Niua Department of Mathematical Sciences; Montana State University, Bozeman, MTb Department of Statistics, Pennsylvania State University, University Park, PAc Statistics, Penn State University, University Park, PA
      Pages: 1515 - 1524
      Abstract: Volume 118, Issue 543, September 2023, Page 1515-1524
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      Citation: Journal of the American Statistical Association
      PubDate: 2023-02-28T09:32:24Z
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  • Causal Inference in Transcriptome-Wide Association Studies with Invalid
           Instruments and GWAS Summary Data

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      Authors: Haoran XueXiaotong ShenWei Pana School of Statistics; University of Minnesota, Minneapolis, MNb Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, MN
      Pages: 1525 - 1537
      Abstract: Volume 118, Issue 543, September 2023, Page 1525-1537
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      Citation: Journal of the American Statistical Association
      PubDate: 2023-03-17T09:56:19Z
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  • Assessing Disparities in Americans’ Exposure to PCBs and PBDEs based on
           NHANES Pooled Biomonitoring Data

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      Authors: Yan LiuDewei WangLi LiDingsheng Lia School of Public Health; University of Nevada, Reno, NVb Department of Statistics, University of South Carolina, Columbia, SC
      Pages: 1538 - 1550
      Abstract: Volume 118, Issue 543, September 2023, Page 1538-1550
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      Citation: Journal of the American Statistical Association
      PubDate: 2023-04-18T07:19:06Z
      DOI: 10.1080/01621459.2023.2195546
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  • A Scale-Free Approach for False Discovery Rate Control in Generalized
           Linear Models

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      Authors: Chenguang DaiBuyu LinXin XingJun S. Liua Department of Statistics; Harvard University, Cambridge, MAb Department of Statistics, Virginia Tech, Blacksburg, VA
      Pages: 1551 - 1565
      Abstract: Volume 118, Issue 543, September 2023, Page 1551-1565
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      Citation: Journal of the American Statistical Association
      PubDate: 2023-04-03T06:59:15Z
      DOI: 10.1080/01621459.2023.2165930
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  • Comment on “A Scale-Free Approach for False Discovery Rate Control in
           Generalized Linear Models” by Chengguang Dai, Buyu Lin, Xin Xing, and
           Jun S. Liu

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      Authors: Qingzhao ZhangShuangge Maa Department of Statistics; Data Science, School of Economics, The Wang Yanan Institute for Studies in Economics, Xiamen University, Xiamen, China;b Department of Biostatistics, Yale School of Public Health, New Haven, CT
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      Abstract: Volume 118, Issue 543, September 2023, Page 1566-1568
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      Citation: Journal of the American Statistical Association
      PubDate: 2023-07-06T04:08:56Z
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  • Discussion of “A Scale-Free Approach for False Discovery Rate Control in
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      Authors: Yin XiaT. Tony Caia Department of Statistics; Data Science, The Wharton School, University of Pennsylvania, Philadelphia, PA
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      Abstract: Volume 118, Issue 543, September 2023, Page 1569-1572
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  • Discussion on: “A Scale-Free Approach for False Discovery Rate Control
           in Generalized Linear Models” by Dai, Lin, Zing, Liu

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      Authors: Gerda ClaeskensMaarten JansenJing Zhoua ORStat; Computer Science, Université libre de Bruxelles, Brussels, Belgiumc School of Mathematics, University of East Anglia, Norwich, UK
      Pages: 1573 - 1577
      Abstract: Volume 118, Issue 543, September 2023, Page 1573-1577
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      Citation: Journal of the American Statistical Association
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  • Discussion of “A Scale-Free Approach for False Discovery Rate Control in
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      Pages: 1578 - 1583
      Abstract: Volume 118, Issue 543, September 2023, Page 1578-1583
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      Citation: Journal of the American Statistical Association
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      Abstract: Volume 118, Issue 543, September 2023, Page 1584-1585
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  • Comments on “A Scale-Free Approach for False Discovery Rate Control in
           Generalized Linear Models”

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      Authors: Sai LiYisha YaoCun-Hui Zhanga Institute of Statistics; Big Data, Renmin University of China, Beijing, Chinab Department of Biostatistics, Yale University, New Haven, CTc Department of Statistics, Rutgers University, Piscataway, NJ
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      Abstract: Volume 118, Issue 543, September 2023, Page 1586-1589
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  • Rejoinder: A Scale-free Approach for False Discovery Rate Control in
           Generalized Linear Models

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      Abstract: Volume 118, Issue 543, September 2023, Page 1590-1594
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  • Adversarial Machine Learning: Bayesian Perspectives

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      Authors: David Rios InsuaRoi NaveiroVíctor GallegoJason Poulosa ICMAT-CSIC; Madrid, Spainb CUNEF University, Madrid, Spainc Komorebi AI Technologies, Madrid, Spaind Harvard Medical School, Boston, MA
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      Abstract: Volume 118, Issue 543, September 2023, Page 2195-2206
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      Citation: Journal of the American Statistical Association
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  • Supervised Machine Learning for Text Analysis in R

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      Authors: Martin HolubPatrícia Martinkováa Institute of Formal; Applied Linguistics, Charles Universityb Institute of Computer Science, Czech Academy of Sciences
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      Abstract: Volume 118, Issue 543, September 2023, Page 2207-2209
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  • Modern Applied Regressions: Bayesian and Frequentist Analysis of
           Categorical and Limited Response variables with R and Stan

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      Authors: Mark N. HarrisCurtin University
      Pages: 2209 - 2211
      Abstract: Volume 118, Issue 543, September 2023, Page 2209-2211
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      Citation: Journal of the American Statistical Association
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  • Bootstrap Prediction Bands for Functional Time Series

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      Abstract: Volume 118, Issue 543, September 2023, Page 2211-2211
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  • Statistical Analytics for Health Data Science with SAS and R

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

      Citation: Journal of the American Statistical Association
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  • Discussion of “A Tale of Two Datasets: Representativeness and
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      Authors: Nynke M. D. NiezinkDepartment of Statistics & Data Science; Carnegie Mellon University, Pittsburgh, PA
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      Citation: Journal of the American Statistical Association
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  • Power and Multicollinearity in Small Networks: A Discussion of “Tale of
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           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
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  • Hierarchical Neyman-Pearson Classification for Prioritizing Severe Disease
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  • 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
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      Citation: Journal of the American Statistical Association
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  • 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
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      Citation: Journal of the American Statistical Association
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  • Copula Modeling of Serially Correlated Multivariate Data with Hidden
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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
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      Citation: Journal of the American Statistical Association
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  • Confidence Intervals for Discrete Data in Clinical Research

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      Authors: Alan AgrestiDepartment of Statistics; University of Florida, Gainesville, FL
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      Citation: Journal of the American Statistical Association
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  • A Regression-Based Approach to Robust Estimation and Inference for Genetic
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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
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      Citation: Journal of the American Statistical Association
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  • A Semiparametric Inverse Reinforcement Learning Approach to Characterize
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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
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      Citation: Journal of the American Statistical Association
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  • 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
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  • 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
       
  • 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
       
  • 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
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      Abstract: .

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