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 552, 2025

Global and Episode-Specific Prediction of Recurrent Events Using Longitudinal Health Informatics Data pp. 2015-2027

Yifei Sun, Sy Han Chiou and Chiung-Yu Huang

Bayesian Inference on Brain-Computer Interfaces via GLASS pp. 2028-2039

Bangyao Zhao, Jane E. Huggins and Jian Kang

Analyzing Whale Calling through Hawkes Process Modeling pp. 2040-2052

Bokgyeong Kang, Erin M. Schliep, Alan E. Gelfand, Tina M. Yack, Christopher W. Clark and Robert S. Schick

Adjacency Matrix Decomposition Clustering for Human Activity Data pp. 2053-2064

Martha Barnard, Yingling Fan and Julian Wolfson

Manipulating an Instrumental Variable in an Observational Study of Premature Babies: Design, Bounds, and Inference pp. 2065-2078

Zhe Chen, Min Haeng Cho and Bo Zhang

Modeling Tree Survival for Investigating Climate Change Effects pp. 2079-2089

Nicole Augustin, Axel Albrecht, Karim Anaya-Izquierdo, Alice Davis, Stefan Meining, Heike Puhlmann and Simon Wood

A Latent Variable Model for Individual Degree Measures in Respondent-Driven Sampling pp. 2090-2101

Yibo Wang, Sunghee Lee and Michael R. Elliott

Integrative Analysis of Microbial 16S Gene and Shotgun Metagenomic Sequencing Data Improves Statistical Efficiency in Testing Differential Abundance pp. 2102-2117

Ye Yue, Yicong Mao, Timothy D. Read, Veronika Fedirko, Glen A. Satten, Xuan Chen, Xiang Zhan and Yi-Juan Hu

Fair Coins Tend to Land on the Same Side They Started: Evidence from 350,757 Flips pp. 2118-2127

František Bartoš, Alexandra Sarafoglou, Henrik R. Godmann, Amir Sahrani, David Klein Leunk, Pierre Y. Gui, David Voss, Kaleem Ullah, Malte Zoubek, Franziska Nippold, Frederik Aust, Felipe Fontana Vieira, Chris-Gabriel Islam, Anton J. Zoubek, Sara Shabani, Jonas Petter, Ingeborg B. Roos, Adam Finnemann, Aaron B. Lob, Madlen F. Hoffstadt, Jason Nak, Jill de Ron, Koen Derks, Karoline Huth, Sjoerd Terpstra, Thomas Bastelica, Magda Matetovici, Vincent L. Ott, Andreea S. Zetea, Katharina Karnbach, Michelle C. Donzallaz, Arne John, Roy M. Moore, Franziska Assion, Riet van Bork, Theresa E. Leidinger, Xiaochang Zhao, Adrian Karami Motaghi, Ting Pan, Hannah Armstrong, Tianqi Peng, Mara Bialas, Joyce Y.-C. Pang, Bohan Fu, Shujun Yang, Xiaoyi Lin, Dana Sleiffer, Miklos Bognar, Balazs Aczel and Eric-Jan Wagenmakers

Bayesian Random-Effects Meta-Analysis Integrating Individual Participant Data and Aggregate Data pp. 2128-2139

Yunxiang Huang, Hang J. Kim, Chiung-Yu Huang and Mi-Ok Kim

Estimating Racial Disparities When Race is Not Observed pp. 2140-2153

Cory McCartan, Robin Fisher, Jacob Goldin, Daniel E. Ho and Kosuke Imai

On the Algorithmic Bias of Aligning Large Language Models with RLHF: Preference Collapse and Matching Regularization pp. 2154-2164

Jiancong Xiao, Ziniu Li, Xingyu Xie, Emily Getzen, Cong Fang, Qi Long and Weijie J. Su

Boosting AI-Generated Biomedical Images with Confidence through Advanced Statistical Inference pp. 2165-2180

Zhiling Gu, Shan Yu, Guannan Wang and Lily Wang

On the Modeling and Prediction of High-Dimensional Functional Time Series pp. 2181-2195

Jinyuan Chang, Qin Fang, Xinghao Qiao and Qiwei Yao

Coefficient Shape Alignment in Multiple Functional Linear Regression pp. 2196-2209

Shuhao Jiao and Ngai-Hang Chan

Two Sample Test for Covariance Matrices in Ultra-High Dimension pp. 2210-2221

Xiucai Ding, Yichen Hu and Zhenggang Wang

Local Signal Detection on Irregular Domains with Generalized Varying Coefficient Models pp. 2222-2234

Chengzhu Zhang, Lan Xue, Yu Chen, Heng Lian and Annie Qu

A Novel Approach of High Dimensional Linear Hypothesis Testing Problem pp. 2235-2249

Zhe Zhang, Xiufan Yu and Runze Li

On the Comparative Analysis of Average Treatment Effects Estimation via Data Combination pp. 2250-2261

Peng Wu, Shanshan Luo and Zhi Geng

Optimal Multitask Linear Regression and Contextual Bandits under Sparse Heterogeneity pp. 2262-2275

Xinmeng Huang, Kan Xu, Donghwan Lee, Hamed Hassani, Hamsa Bastani and Edgar Dobriban

Estimation and Variable Selection for Interval-Censored Failure Time Data with Random Change Point and Application to Breast Cancer Study pp. 2276-2287

Mingyue Du, Yichen Lou and Jianguo Sun

Comparison of Longitudinal Trajectories Using a High-Dimensional Partial Linear Semiparametric Mixed-Effects Model pp. 2288-2301

Sami Leon and Tong Tong Wu

Analysis of Variance of Tensor Product Reproducing Kernel Hilbert Spaces on Metric Spaces pp. 2302-2313

Zhanfeng Wang, Rui Pan, Xueqin Wang and Yuedong Wang

Estimation and Inference for Nonparametric Expected Shortfall Regression over RKHS pp. 2314-2325

Myeonghun Yu, Yue Wang, Siyu Xie, Kean Ming Tan and Wen-Xin Zhou

Large Precision Matrix Estimation with Unknown Group Structure pp. 2326-2337

Cong Cheng, Yuan Ke and Wenyang Zhang

A Bias-Accuracy-Privacy Trilemma for Statistical Estimation pp. 2338-2349

Gautam Kamath, Argyris Mouzakis, Matthew Regehr, Vikrant Singhal, Thomas Steinke and Jonathan Ullman

Inferences in Multinomial Dynamic Mixed Logit Models pp. 2350-2361

Alwell Oyet, Brajendra C. Sutradhar and R. Prabhakar Rao

Semiparametric Regression Analysis of Interval-Censored Multi-State Data with An Absorbing State pp. 2362-2371

Yu Gu, Donglin Zeng and D. Y. Lin

An Adaptive Adjustment to the R2 Statistic in High-Dimensional Elliptical Models pp. 2372-2384

Shizhe Hong, Weiming Li, Qiang Liu and Yangchun Zhang

Discovering the Network Granger Causality in Large Vector Autoregressive Models pp. 2385-2396

Yoshimasa Uematsu and Takashi Yamagata

Hub Detection in Gaussian Graphical Models pp. 2397-2409

José Á. Sánchez Gómez, Weibin Mo, Junlong Zhao and Yufeng Liu

Testing Mutually Exclusive Hypotheses for Multi-Response Regressions pp. 2410-2421

Jiaqi Huang, Wenbiao Zhao and Lixing Zhu

Estimation of Over-Parameterized Models from an Auto-Modeling Perspective pp. 2422-2434

Yiran Jiang and Chuanhai Liu

Degree-Heterogeneous Latent Class Analysis for High-Dimensional Discrete Data pp. 2435-2448

Zhongyuan Lyu, Ling Chen and Yuqi Gu

Random Effects Model-Based Sufficient Dimension Reduction for Independent Clustered Data pp. 2449-2460

Linh H. Nghiem and Francis K. C. Hui

Deep Regression for Repeated Measurements pp. 2461-2472

Shunxing Yan, Fang Yao and Hang Zhou

Class-Specific Joint Feature Screening in Ultrahigh-Dimensional Mixture Regression pp. 2473-2483

Kaili Jing, Abbas Khalili and Chen Xu

Causal Inference for Genomic Data with Multiple Heterogeneous Outcomes pp. 2484-2497

Jin-Hong Du, Zhenghao Zeng, Edward H. Kennedy, Larry Wasserman and Kathryn Roeder

Network Varying Coefficient Model pp. 2498-2509

Xinyan Fan, Kuangnan Fang, Wei Lan and Chih-Ling Tsai

Statistical Inference for High-Dimensional Convoluted Rank Regression pp. 2510-2521

Leheng Cai, Xu Guo, Heng Lian and Liping Zhu

Multi-Dimensional Domain Generalization with Low-Rank Structures pp. 2522-2534

Sai Li and Linjun Zhang

Dynamic Regression of Longitudinal Trajectory Features pp. 2535-2546

Huijuan Ma, Wei Zhao, John Hanfelt and Limin Peng

Positive and Unlabeled Data: Model, Estimation, Inference, and Classification pp. 2547-2558

Siyan Liu, Chi-Kuang Yeh, Xin Zhang, Qinglong Tian and Pengfei Li

An Economical Approach to Design Posterior Analyses pp. 2559-2568

Luke Hagar and Nathaniel T. Stevens

Data Fusion Using Weakly Aligned Sources pp. 2569-2579

Sijia Li, Peter B. Gilbert, Rui Duan and Alex Luedtke

Kernel Meets Sieve: Transformed Hazards Models with Sparse Longitudinal Covariates pp. 2580-2591

Dayu Sun, Zhuowei Sun, Xingqiu Zhao and Hongyuan Cao

Sparse Bayesian Multidimensional Item Response Theory pp. 2592-2605

Jiguang Li, Robert Gibbons and Veronika Ročková

Communication-Efficient Distributed Sparse Learning with Oracle Property and Geometric Convergence pp. 2606-2618

Weidong Liu, Xiaojun Mao and Jiyuan Tu

Distributed Tensor Principal Component Analysis with Data Heterogeneity pp. 2619-2631

Elynn Chen, Xi Chen, Wenbo Jing and Yichen Zhang

Hypothesis Testing for a Functional Parameter via Self-Normalization pp. 2632-2645

Yi Zhang and Xiaofeng Shao

Posterior Predictive Design for Phase I Clinical Trials pp. 2646-2657

Chenqi Fu, Shouhao Zhou and J. Jack Lee

Network-Based Neighborhood Regression pp. 2658-2671

Yaoming Zhen and Jin-Hong Du

Asymptotic Behavior of Adversarial Training Estimator under ℓ∞-Perturbation pp. 2672-2683

Yiling Xie and Xiaoming Huo

Dependent Random Partitions by Shrinking Toward an Anchor pp. 2684-2696

David B. Dahl, Richard L. Warr and Thomas P. Jensen

Unified Optimal Model Averaging with a General Loss Function based on Cross-Validation pp. 2697-2708

Dalei Yu, Xinyu Zhang and Hua Liang

A New Approach to Optimal Design under Model Uncertainty Motivated by Multi-Armed Bandits pp. 2709-2722

Mingyao Ai, Holger Dette, Zhengfu Liu and Jun Yu

Likelihood Ratio Tests in Random Graph Models with Increasing Dimensions pp. 2723-2736

Ting Yan, Yuanzhang Li, Jinfeng Xu, Yaning Yang and Ji Zhu

A Smoothed-Bayesian Approach to Frequency Recovery from Sketched Data pp. 2737-2748

Mario Beraha, Stefano Favaro and Matteo Sesia

Aggregated Projection Method: A New Approach for Group Factor Model pp. 2749-2761

Jiaqi Hu, Ting Li and Xueqin Wang

Inference in Generalized Linear Models with Robustness to Misspecified Variances pp. 2762-2771

Riccardo De Santis, Jelle J. Goeman, Jesse Hemerik, Samuel Davenport and Livio Finos

Nonparametric Test for Rough Volatility pp. 2772-2783

Carsten H. Chong and Viktor Todorov

Adaptation Using Spatially Distributed Gaussian Processes pp. 2784-2795

Botond Szabo, Amine Hadji and Aad van der Vaart

Tail Calibration of Probabilistic Forecasts pp. 2796-2808

Sam Allen, Jonathan Koh, Johan Segers and Johanna Ziegel

A Bayesian Criterion for Rerandomization pp. 2809-2821

Zhaoyang Liu, Tingxuan Han, Donald B. Rubin and Ke Deng

Identifying the Structure of High-Dimensional Time Series via Eigen-Analysis pp. 2822-2833

Bo Zhang, Jiti Gao, Guangming Pan and Yanrong Yang

Fairness in Machine Learning: A Review for Statisticians pp. 2834-2851

Xianwen He and Yao Li

Data Science for Infectious Disease Data Analytics: An Introduction with R pp. 2852-2853

Qi Zheng

Exponential Families in Theory and Practice pp. 2853-2855

Jessica Gronsbell

Mixture Models: Parametric, Semiparametric, and New Directions pp. 2855-2856

Hien D. Nguyen

Volume 120, issue 551, 2025

Identifying Genetic Variants for Brain Connectivity Using Ball Covariance Ranking and Aggregation pp. 1323-1334

Wei Dai and Heping Zhang

Estimating Heterogeneous Exposure Effects in the Case-Crossover Design Using BART pp. 1335-1346

Jacob R. Englert, Stefanie T. Ebelt and Howard H. Chang

Distributional Outcome Regression via Quantile Functions and its Application to Modelling Continuously Monitored Heart Rate and Physical Activity pp. 1347-1359

Rahul Ghosal, Sujit K. Ghosh, Jennifer A. Schrack and Vadim Zipunnikov

Fast Signal Region Detection With Application to Whole Genome Association Studies pp. 1360-1372

Wei Zhang, Fan Wang and Fang Yao

Prediction of Cognitive Function via Brain Region Volumes with Applications to Alzheimer’s Disease Based on Space-Factor-Guided Functional Principal Component Analysis pp. 1373-1385

Shoudao Wen, Yi Li, Dehan Kong and Huazhen Lin

Safe Policy Learning through Extrapolation: Application to Pre-trial Risk Assessment pp. 1386-1399

Eli Ben-Michael, D. James Greiner, Kosuke Imai and Zhichao Jiang

Estimating Heterogeneous Causal Mediation Effects with Bayesian Decision Tree Ensembles pp. 1400-1413

Angela Ting and Antonio R. Linero

Who Are We Missing?: A Principled Approach to Characterizing the Underrepresented Population pp. 1414-1423

Harsh Parikh, Rachael K. Ross, Elizabeth Stuart and Kara E. Rudolph

Debiasing Watermarks for Large Language Models via Maximal Coupling pp. 1424-1436

Yangxinyu Xie, Xiang Li, Tanwi Mallick, Weijie Su and Ruixun Zhang

Deep Fréchet Regression pp. 1437-1448

Su I Iao, Yidong Zhou and Hans-Georg Müller

Optimal Transport based Cross-Domain Integration for Heterogeneous Data pp. 1449-1462

Yubai Yuan, Yijiao Zhang, Babak Shahbaba, Norbert Fortin, Keiland Cooper, Qing Nie and Annie Qu

Kernel Spectral Joint Embeddings for High-Dimensional Noisy Datasets Using Duo-Landmark Integral Operators pp. 1463-1476

Xiucai Ding and Rong Ma

Statistical and Computational Efficiency for Smooth Tensor Estimation with Unknown Permutations pp. 1477-1490

Chanwoo Lee and Miaoyan Wang

Modeling Hypergraphs with Diversity and Heterogeneous Popularity pp. 1491-1502

Xianshi Yu and Ji Zhu

Federated Adaptive Causal Estimation (FACE) of Target Treatment Effects pp. 1503-1516

Larry Han, Jue Hou, Kelly Cho, Rui Duan and Tianxi Cai

Distributional Off-Policy Evaluation in Reinforcement Learning pp. 1517-1530

Zhengling Qi, Chenjia Bai, Zhaoran Wang and Lan Wang

When Frictions Are Fractional: Rough Noise in High-Frequency Data pp. 1531-1544

Carsten H. Chong, Thomas Delerue and Guoying Li

Robust Bayesian Modeling of Counts with Zero Inflation and Outliers: Theoretical Robustness and Efficient Computation pp. 1545-1557

Yasuyuki Hamura, Kaoru Irie and Shonosuke Sugasawa

Evaluation of Binary Classifiers for Asymptotically Dependent and Independent Extremes pp. 1558-1568

Juliette Legrand, Philippe Naveau and Marco Oesting

Asymptotic Guarantees for Bayesian Phylogenetic Tree Reconstruction pp. 1569-1579

Alisa Kirichenko, Luke J. Kelly and Jere Koskela

Frequency Domain Statistical Inference for High-Dimensional Time Series pp. 1580-1592

Jonas Krampe and Efstathios Paparoditis

U-Statistic Reduction: Higher-Order Accurate Risk Control and Statistical-Computational Trade-Off pp. 1593-1606

Meijia Shao, Dong Xia and Yuan Zhang

Joint Spectral Clustering in Multilayer Degree-Corrected Stochastic Blockmodels pp. 1607-1620

Joshua Agterberg, Zachary Lubberts and Jesús Arroyo

Modeling Preferences: A Bayesian Mixture of Finite Mixtures for Rankings and Ratings pp. 1621-1632

Michael Pearce and Elena A. Erosheva

Conformal Prediction for Network-Assisted Regression pp. 1633-1644

Robert Lunde, Elizaveta Levina and Ji Zhu

Higher Order Accurate Symmetric Bootstrap Confidence Intervals in High Dimensional Penalized Regression pp. 1645-1656

Debraj Das, Arindam Chatterjee and S. N. Lahiri

Sensitivity Analysis for Quantiles of Hidden Biases in Matched Observational Studies pp. 1657-1668

Dongxiao Wu and Xinran Li

Simulation-Based, Finite-Sample Inference for Privatized Data pp. 1669-1682

Jordan Awan and Zhanyu Wang

Efficient Estimation for Longitudinal Networks via Adaptive Merging pp. 1683-1694

Haoran Zhang and Junhui Wang

Robust Inference for Federated Meta-Learning pp. 1695-1710

Zijian Guo, Xiudi Li, Larry Han and Tianxi Cai

Deconvolution Density Estimation with Penalized MLE pp. 1711-1723

Yun Cai, Hong Gu and Toby Kenney

Partial Quantile Tensor Regression pp. 1724-1735

Dayu Sun, Limin Peng, Zhiping Qiu, Ying Guo and Amita Manatunga

Communication-Efficient Distributed Estimation and Inference for Cox’s Model pp. 1736-1746

Pierre Bayle, Jianqing Fan and Zhipeng Lou

Matrix GARCH Model: Inference and Application pp. 1747-1762

Cheng Yu, Dong Li, Feiyu Jiang and Ke Zhu

High-Dimensional Knockoffs Inference for Time Series Data pp. 1763-1774

Chien-Ming Chi, Yingying Fan, Ching-Kang Ing and Jinchi Lv

Bayesian Clustering via Fusing of Localized Densities pp. 1775-1786

Alexander Dombowsky and David B. Dunson

Robustifying Likelihoods by Optimistically Re-weighting Data pp. 1787-1798

Miheer Dewaskar, Christopher Tosh, Jeremias Knoblauch and David B. Dunson

High-Dimensional Expected Shortfall Regression pp. 1799-1810

Shushu Zhang, Xuming He, Kean Ming Tan and Wen-Xin Zhou

Partially Exchangeable Stochastic Block Models for (Node-Colored) Multilayer Networks pp. 1811-1827

Daniele Durante, Francesco Gaffi, Antonio Lijoi and Igor Prünster

Phase-Type Distributions for Sieve Estimation pp. 1828-1839

Hu Xiangbin, Yudong Wang, Zhisheng Ye and Xingqiu Zhao

A Unified Framework for Residual Diagnostics in Generalized Linear Models and Beyond pp. 1840-1852

Dungang Liu, Zewei Lin and Heping Zhang

Estimation and Inference of Quantile Spatially Varying Coefficient Models Over Complicated Domains pp. 1853-1867

Myungjin Kim, Li Wang and Huixia Judy Wang

Geometric Ergodicity of Trans-Dimensional Markov Chain Monte Carlo Algorithms pp. 1868-1878

Qian Qin

Geodesic Mixed Effects Models for Repeatedly Observed/Longitudinal Random Objects pp. 1879-1892

Satarupa Bhattacharjee and Hans-Georg Müller

Adaptive Testing for High-Dimensional Data pp. 1893-1905

Yangfan Zhang, Runmin Wang and Xiaofeng Shao

When Composite Likelihood meets Stochastic Approximation pp. 1906-1918

Giuseppe Alfonzetti, Ruggero Bellio, Yunxiao Chen and Irini Moustaki

Network Goodness-of-Fit for the Block-Model Family pp. 1919-1932

Jiashun Jin, Zheng Tracy Ke, Jiajun Tang and Jingming Wang

High-Dimensional Variable Clustering based on Maxima of a Weakly Dependent Random Process pp. 1933-1944

Alexis Boulin, Elena Di Bernardino, Thomas Laloë and Gwladys Toulemonde

Simultaneous Inference for Generalized Linear Models with Unmeasured Confounders pp. 1945-1959

Jin-Hong Du, Larry Wasserman and Kathryn Roeder

Statistical Inference for High-Dimensional Spectral Density Matrix pp. 1960-1974

Jinyuan Chang, Qing Jiang, Tucker McElroy and Xiaofeng Shao

Cutting Feedback in Misspecified Copula Models pp. 1975-1989

Michael Stanley Smith, Weichang Yu, David J. Nott and David T. Frazier

Deep Mutual Density Ratio Estimation with Bregman Divergence and Its Applications pp. 1990-2001

Dongxiao Han, Siming Zheng, Guohao Shen, Xinyuan Song, Liuquan Sun and Jian Huang

Spatial Linear Models for Environmental Data pp. 2002-2003

Bruno Sansó

Generalized Linear Mixed Models: Modern Concepts, Methods and Applications, 2nd ed pp. 2003-2005

Xing Liu

Ordinal Data Analysis: Statistical Perspective with Applications pp. 2005-2007

Maria Iannario

Statistical Prediction and Machine Learning pp. 2007-2009

Michal Pešta

Financial Data Analytics with R: Monte-Carlo Validation pp. 2009-2010

Tony Sit

Correction pp. 2011-2014

The Editors

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