Journal of the American Statistical Association

2008 - 2025

Continuation of Journal of the American Statistical Association.

Current editor(s): Xuming He, Jun Liu, Joseph Ibrahim and Alyson Wilson

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Volume 120, issue 550, 2025

Space-Time Extremes of Severe U.S. Thunderstorm Environments pp. 591-604

Jonathan Koh, Erwan Koch and Anthony C. Davison

Testing a Large Number of Composite Null Hypotheses Using Conditionally Symmetric Multidimensional Gaussian Mixtures in Genome-Wide Studies pp. 605-617

Ryan Sun, Zachary R. McCaw and Xihong Lin

A Physics-Informed, Deep Double Reservoir Network for Forecasting Boundary Layer Velocity pp. 618-630

Matthew Bonas, David H. Richter and Stefano Castruccio

ℓ1-based Bayesian Ideal Point Model for Multidimensional Politics pp. 631-644

Sooahn Shin, Johan Lim and Jong Hee Park

Spatio-Temporal Modeling for Record-Breaking Temperature Events in Spain pp. 645-657

Jorge Castillo-Mateo, Alan E. Gelfand, Zeus Gracia-Tabuenca, Jesús Asín and Ana C. Cebrián

Unlocking Retrospective Prevalent Information in EHRs—A Revisit to the Pairwise Pseudolikelihood pp. 658-670

Nir Keret and Malka Gorfine

Immune Profiling Among Colorectal Cancer Subtypes Using Dependent Mixture Models pp. 671-684

Yunshan Duan, Shuai Guo, Wenyi Wang and Peter Müller

Inferring Causal Effect of a Digital Communication Strategy under a Latent Sequential Ignorability Assumption and Treatment Noncompliance pp. 685-697

Yuki Ohnishi, Bikram Karmakar and Wreetabrata Kar

Combining Broad and Narrow Case Definitions in Matched Case-Control Studies: Firearms in the Home and Suicide Risk pp. 698-709

Ting Ye, Kan Chen and Dylan Small

GeoWarp: Warped Spatial Processes for Inferring Subsea Sediment Properties pp. 710-722

Michael Bertolacci, Andrew Zammit-Mangion, Juan Valderrama Giraldo, Michael O’Neill, Fraser Bransby and Phil Watson

Sparse Bayesian Group Factor Model for Feature Interactions in Multiple Count Tables Data pp. 723-736

Shuangjie Zhang, Yuning Shen, Irene A. Chen and Juhee Lee

Rate-Optimal Rank Aggregation with Private Pairwise Rankings pp. 737-750

Shirong Xu, Will Wei Sun and Guang Cheng

Population-Level Balance in Signed Networks pp. 751-763

Weijing Tang and Ji Zhu

Node-Level Community Detection within Edge Exchangeable Models for Interaction Processes pp. 764-778

Yuhua Zhang and Walter Dempsey

Distributed Heterogeneity Learning for Generalized Partially Linear Models with Spatially Varying Coefficients pp. 779-793

Shan Yu, Guannan Wang and Li Wang

Mediation Analysis with the Mediator and Outcome Missing Not at Random pp. 794-804

Shuozhi Zuo, Debashis Ghosh, Peng Ding and Fan Yang

False Discovery Rate Control For Structured Multiple Testing: Asymmetric Rules And Conformal Q-values pp. 805-817

Zinan Zhao and Wenguang Sun

Nonparametric Multiple-Output Center-Outward Quantile Regression pp. 818-832

Eustasio del Barrio, Alberto González Sanz and Marc Hallin

Test and Measure for Partial Mean Dependence Based on Machine Learning Methods pp. 833-845

Leheng Cai, Xu Guo and Wei Zhong

Tyranny-of-the-Minority Regression Adjustment in Randomized Experiments pp. 846-858

Xin Lu and Hanzhong Liu

Enhanced Response Envelope via Envelope Regularization pp. 859-868

Oh-Ran Kwon and Hui Zou

Supervised Dynamic PCA: Linear Dynamic Forecasting with Many Predictors pp. 869-883

Zhaoxing Gao and Ruey S. Tsay

Synthetic Likelihood in Misspecified Models pp. 884-895

David T. Frazier, David J. Nott and Christopher Drovandi

Contextual Dynamic Pricing with Strategic Buyers pp. 896-908

Pangpang Liu, Zhuoran Yang, Zhaoran Wang and Will Wei Sun

Statistical Inference for Hüsler–Reiss Graphical Models Through Matrix Completions pp. 909-921

Manuel Hentschel, Sebastian Engelke and Johan Segers

Robust Matrix Completion with Heavy-Tailed Noise pp. 922-934

Bingyan Wang and Jianqing Fan

Controlling the False Split Rate in Tree-Based Aggregation pp. 935-947

Simeng Shao, Jacob Bien and Adel Javanmard

Optimal Network Membership Estimation under Severe Degree Heterogeneity pp. 948-962

Zheng Tracy Ke and Jingming Wang

Parallel Sampling of Decomposable Graphs Using Markov Chains on Junction Trees pp. 963-975

Mohamad Elmasri

Efficient Multiple Change Point Detection and Localization For High-Dimensional Quantile Regression with Heteroscedasticity pp. 976-989

Xianru Wang, Bin Liu, Xinsheng Zhang and Yufeng Liu

Natural Gradient Variational Bayes Without Fisher Matrix Analytic Calculation and Its Inversion pp. 990-1001

A. Godichon-Baggioni, D. Nguyen and M.-N. Tran

Robust Regression with Covariate Filtering: Heavy Tails and Adversarial Contamination pp. 1002-1013

Ankit Pensia, Varun Jog and Po-Ling Loh

Statistical Inference for Networks of High-Dimensional Point Processes pp. 1014-1024

Xu Wang, Mladen Kolar and Ali Shojaie

Euclidean Mirrors and Dynamics in Network Time Series pp. 1025-1036

Avanti Athreya, Zachary Lubberts, Youngser Park and Carey Priebe

Semi-Supervised Triply Robust Inductive Transfer Learning pp. 1037-1047

Tianxi Cai, Mengyan Li and Molei Liu

Optimal Network Pairwise Comparison pp. 1048-1062

Jiashun Jin, Zheng Tracy Ke, Shengming Luo and Yucong Ma

Monte Carlo Inference for Semiparametric Bayesian Regression pp. 1063-1076

Daniel R. Kowal and Bohan Wu

Zigzag Path Connects Two Monte Carlo Samplers: Hamiltonian Counterpart to a Piecewise Deterministic Markov Process pp. 1077-1089

Akihiko Nishimura, Zhenyu Zhang and Marc A. Suchard

Model-Based Causal Feature Selection for General Response Types pp. 1090-1101

Lucas Kook, Sorawit Saengkyongam, Anton Rask Lundborg, Torsten Hothorn and Jonas Peters

Off-Policy Evaluation in Doubly Inhomogeneous Environments pp. 1102-1114

Zeyu Bian, Chengchun Shi, Zhengling Qi and Lan Wang

Improving Tensor Regression by Optimal Model Averaging pp. 1115-1126

Qiushi Bu, Hua Liang, Xinyu Zhang and Jiahui Zou

Valid Inference After Causal Discovery pp. 1127-1138

Paula Gradu, Tijana Zrnic, Yixin Wang and Michael I. Jordan

Robust Estimation for Number of Factors in High Dimensional Factor Modeling via Spearman Correlation Matrix pp. 1139-1151

Jiaxin Qiu, Zeng Li and Jianfeng Yao

On Optimality of Mallows Model Averaging pp. 1152-1163

Jingfu Peng, Yang Li and Yuhong Yang

Neyman-Pearson Multi-Class Classification via Cost-Sensitive Learning pp. 1164-1177

Ye Tian and Yang Feng

Model-Based Clustering of Categorical Data Based on the Hamming Distance pp. 1178-1188

Raffaele Argiento, Edoardo Filippi-Mazzola and Lucia Paci

Large-Scale Low-Rank Gaussian Process Prediction with Support Points pp. 1189-1200

Yan Song, Wenlin Dai and Marc G. Genton

An Adaptive Transfer Learning Framework for Functional Classification pp. 1201-1213

Caihong Qin, Jinhan Xie, Ting Li and Yang Bai

Estimating Higher-Order Mixed Memberships via the l2,∞ Tensor Perturbation Bound pp. 1214-1224

Joshua Agterberg and Anru R. Zhang

A Model-Agnostic Graph Neural Network for Integrating Local and Global Information pp. 1225-1238

Wenzhuo Zhou, Annie Qu, Keiland W. Cooper, Norbert Fortin and Babak Shahbaba

Inferring Covariance Structure from Multiple Data Sources via Subspace Factor Analysis pp. 1239-1253

Noirrit Kiran Chandra, David B. Dunson and Jason Xu

Adaptive Learning of the Latent Space of Wasserstein Generative Adversarial Networks pp. 1254-1266

Yixuan Qiu, Qingyi Gao and Xiao Wang

Iterative Methods for Vecchia-Laplace Approximations for Latent Gaussian Process Models pp. 1267-1280

Pascal Kündig and Fabio Sigrist

A Sparse Beta Regression Model for Network Analysis pp. 1281-1293

Stefan Stein, Rui Feng and Chenlei Leng

Robust Permutation Tests in Linear Instrumental Variables Regression pp. 1294-1304

Purevdorj Tuvaandorj

Deep Regression Learning with Optimal Loss Function pp. 1305-1317

Xuancheng Wang, Ling Zhou and Huazhen Lin

Handbook of Bayesian, Fiducial, and Frequentist Inference pp. 1318-1320

Mengyang Gu

Soccer Analytics: An Introduction Using R pp. 1320-1321

Alexander Aue

Objective Bayesian Inference pp. 1321-1322

Jaeyong Lee

Volume 120, issue 549, 2025

Our Mission in Action: Past, Present, and Future pp. 1-6

Dionne L. Price

Poisson-FOCuS: An Efficient Online Method for Detecting Count Bursts with Application to Gamma Ray Burst Detection pp. 7-19

Kes Ward, Giuseppe Dilillo, Idris Eckley and Paul Fearnhead

Discussion of “Poisson-FOCuS: An Efficient Online Method for Detecting Count Bursts with Application to Gamma Ray Burst Detection” pp. 20-21

Mikael Kuusela

A Space Astrophysics Perspective on Poisson-FOCuS pp. 22-25

Carlo Graziani

Discussion on “Poisson-FOCuS: An Efficient Online Method for Detecting Count Bursts with Application to Gamma Ray Burst Detection” by Ward, Dilillo, Eckley and Fearnhead pp. 26-30

Yang Chen

Saha and Ramdas’ Discussion of “Poisson-FOCuS” by Ward, Dilillo, Eckley & Fearnhead pp. 31-33

Aytijhya Saha and Aaditya Ramdas

Poisson-FOCuS: An Efficient Online Method for Detecting Count Bursts with Application to Gamma Ray Burst Detection. Rejoinder pp. 34-37

Kes Ward, Giuseppe Dilillo, Idris Eckley and Paul Fearnhead

Evaluating Treatment Prioritization Rules via Rank-Weighted Average Treatment Effects pp. 38-51

Steve Yadlowsky, Scott Fleming, Nigam Shah, Emma Brunskill and Stefan Wager

Bisection Grover’s Search Algorithm and Its Application in Analyzing CITE-seq Data pp. 52-63

Ping Ma, Yongkai Chen, Haoran Lu and Wenxuan Zhong

Using Penalized Synthetic Controls on Truncated Data: A Case Study on Effect of Marijuana Legalization on Direct Payments to Physicians by Opioid Manufacturers pp. 64-79

Bikram Karmakar, Gourab Mukherjee and Wreetabrata Kar

Spatial Modeling and Future Projection of Extreme Precipitation Extents pp. 80-95

Peng Zhong, Manuela Brunner, Thomas Opitz and Raphaël Huser

Quantification of Vaccine Waning as a Challenge Effect pp. 96-106

Matias Janvin and Mats J. Stensrud

Additive Covariance Matrix Models: Modeling Regional Electricity Net-Demand in Great Britain pp. 107-119

V. Gioia, M. Fasiolo, J. Browell and R. Bellio

eDNAPlus: A Unifying Modeling Framework for DNA-based Biodiversity Monitoring pp. 120-134

Alex Diana, Eleni Matechou, Jim Griffin, Douglas W. Yu, Mingjie Luo, Marie Tosa, Alex Bush and Richard A. Griffiths

Data Fission: Splitting a Single Data Point pp. 135-146

James Leiner, Boyan Duan, Larry Wasserman and Aaditya Ramdas

Discussion of “Data Fission: Splitting a Single Data Point” – Some Asymptotic Results for Data Fission pp. 147-150

Lihua Lei

Discussion of “Data Fission: Splitting a Single Data Point” pp. 151-157

Anna Neufeld, Ameer Dharamshi, Lucy L. Gao, Daniela Witten and Jacob Bien

A Discussion on: “Data Fission: Splitting a Single Data Point” by Leiner, J., Duan, B., Wasserman, L. and Ramdas, A pp. 158-158

Marta Catalano, Augusto Fasano, Matteo Giordano and Giovanni Rebaudo

Data Fission and Sampling Designs: A Discussion pp. 159-160

Kwun Chuen Gary Chan, Ross L. Prentice and Zhenman Yuan

Assumption-Lean Data Fission with Resampled Data pp. 161-161

Kevin Fry, Snigdha Panigrahi and Jonathan Taylor

Discussion of Leiner et al. “Data Fission: Splitting a Single Data Point” pp. 162-163

Daniel García Rasines and Alastair Young

Comment for “Data Fission: Splitting a Single Data Point” pp. 164-164

Sangwon Hyun

Empirical Bayes Estimation via Data Fission pp. 165-166

Nikolaos Ignatiadis and Dennis L. Sun

Comment on “Data Fission: Splitting a Single Data Point” by James Leiner, Boyan Duan, Larry Wasserman and Aaditya Ramdas pp. 167-167

V. Roshan Joseph

Discussion of “Data Fission: Splitting a Single Data Point” by Leiner et al pp. 168-169

Jing Lei, Natalia L. Oliveira and Ryan J. Tibshirani

Comments on “Data Fission: Splitting a Single Data Point” pp. 170-171

Sanat K. Sarkar

Comment on “Data Fission: Splitting a Single Data Point” pp. 172-173

Philip Waggoner

Comment on “Data Fission: Splitting a Single Data Point” Data Fission for Unsupervised Learning: A Discussion on Post-Clustering Inference and the Challenges of Debiasing pp. 174-175

Changhu Wang, Xinzhou Ge, Dongyuan Song and Jingyi Jessica Li

Comments on “Data Fission: Splitting a Single Data Point” by James Leiner, Boyan Duan, Larry Wasserman, and Aaditya Ramdas pp. 176-177

Lijun Wang and Hongyu Zhao

Discussion on “Data Fission: Splitting a Single Data Point” pp. 178-179

Zhigen Zhao

Rejoinder pp. 180-185

James Leiner, Boyan Duan, Larry Wasserman and Aaditya Ramdas

Model-Free Statistical Inference on High-Dimensional Data pp. 186-197

Xu Guo, Runze Li, Zhe Zhang and Changliang Zou

Stochastic Low-Rank Tensor Bandits for Multi-Dimensional Online Decision Making pp. 198-211

Jie Zhou, Botao Hao, Zheng Wen, Jingfei Zhang and Will Wei Sun

An Interpretable and Efficient Infinite-Order Vector Autoregressive Model for High-Dimensional Time Series pp. 212-225

Yao Zheng

Confidence Intervals for Parameters of Unobserved Events pp. 226-236

Amichai Painsky

Ranking Inferences Based on the Top Choice of Multiway Comparisons pp. 237-250

Jianqing Fan, Zhipeng Lou, Weichen Wang and Mengxin Yu

Modeling Recurrent Failures on Large Directed Networks pp. 251-265

Qingqing Zhai, Zhisheng Ye, Cheng Li, Matthew Revie and David B. Dunson

Robust Personalized Federated Learning with Sparse Penalization pp. 266-277

Weidong Liu, Xiaojun Mao, Xiaofei Zhang and Xin Zhang

Doubly Flexible Estimation under Label Shift pp. 278-290

Seong-ho Lee, Yanyuan Ma and Jiwei Zhao

Extreme Value Statistics in Semi-Supervised Models pp. 291-304

Hanan Ahmed, John H.J. Einmahl and Chen Zhou

CARE: Large Precision Matrix Estimation for Compositional Data pp. 305-317

Shucong Zhang, Huiyuan Wang and Wei Lin

Automatic Regenerative Simulation via Non-Reversible Simulated Tempering pp. 318-330

Miguel Biron-Lattes, Trevor Campbell and Alexandre Bouchard-Côté

Doubly-Valid/Doubly-Sharp Sensitivity Analysis for Causal Inference with Unmeasured Confounding pp. 331-342

Jacob Dorn, Kevin Guo and Nathan Kallus

Statistical Inference For Noisy Matrix Completion Incorporating Auxiliary Information pp. 343-355

Shujie Ma, Po-Yao Niu, Yichong Zhang and Yinchu Zhu

Generalized Bayesian Additive Regression Trees Models: Beyond Conditional Conjugacy pp. 356-369

Antonio R. Linero

Inferring Independent Sets of Gaussian Variables after Thresholding Correlations pp. 370-381

Arkajyoti Saha, Daniela Witten and Jacob Bien

Efficient Nonparametric Estimation of Stochastic Policy Effects with Clustered Interference pp. 382-394

Chanhwa Lee, Donglin Zeng and Michael G. Hudgens

Sharp-SSL: Selective High-Dimensional Axis-Aligned Random Projections for Semi-Supervised Learning pp. 395-407

Tengyao Wang, Edgar Dobriban, Milana Gataric and Richard J. Samworth

Sobolev Calibration of Imperfect Computer Models pp. 408-418

Qingwen Zhang and Wenjia Wang

Modeling and Learning on High-Dimensional Matrix-Variate Sequences pp. 419-434

Xu Zhang, Catherine C. Liu, Jianhua Guo, K. C. Yuen and A. H. Welsh

Selection and Aggregation of Conformal Prediction Sets pp. 435-447

Yachong Yang and Arun Kumar Kuchibhotla

Testing the Number of Common Factors by Bootstrapped Sample Covariance Matrix in High-Dimensional Factor Models pp. 448-459

Long Yu, Peng Zhao and Wang Zhou

Controlled Discovery and Localization of Signals via Bayesian Linear Programming pp. 460-471

Asher Spector and Lucas Janson

Tests for Large-Dimensional Shape Matrices via Tyler’s M Estimators pp. 472-485

Runze Li, Weiming Li and Qinwen Wang

Graph-Aligned Random Partition Model (GARP) pp. 486-497

Giovanni Rebaudo and Peter Müller

Randomness of Shapes and Statistical Inference on Shapes via the Smooth Euler Characteristic Transform pp. 498-510

Kun Meng, Jinyu Wang, Lorin Crawford and Ani Eloyan

Generalized Data Thinning Using Sufficient Statistics pp. 511-523

Ameer Dharamshi, Anna Neufeld, Keshav Motwani, Lucy L. Gao, Daniela Witten and Jacob Bien

Doubly Robust Augmented Model Accuracy Transfer Inference with High Dimensional Features pp. 524-534

Doudou Zhou, Molei Liu, Mengyan Li and Tianxi Cai

Neural Networks for Geospatial Data pp. 535-547

Wentao Zhan and Abhirup Datta

Rational Kriging pp. 548-558

V. Roshan Joseph

Distribution-Free Prediction Intervals Under Covariate Shift, With an Application to Causal Inference pp. 559-571

Jing Qin, Yukun Liu, Moming Li and Chiung-Yu Huang

Operationalizing Legislative Bodies: A Methodological and Empirical Perspective with a Bayesian Approach pp. 572-583

Carolina Luque and Juan Sosa

Model-Based Machine Learning pp. 584-585

Emanuela Furfaro

ROC Analysis for Classification and Prediction in Practice pp. 585-586

Mauricio Tec

Bayesian Nonparametrics for Causal Inference and Missing Data pp. 586-587

P. Richard Hahn

Probability Modeling and Statistical Inference in Cancer Screening pp. 587-588

Li C. Cheung

Functional Data Analysis with R pp. 588-590

Piotr S. Kokoszka