Journal of the American Statistical Association

2008 - 2024

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 118, issue 544, 2023

A Tale of Two Datasets: Representativeness and Generalisability of Inference for Samples of Networks pp. 2213-2224

Pavel N. Krivitsky, Pietro Coletti and Niel Hens

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 pp. 2225-2227

Michael Schweinberger and Cornelius Fritz

Power and Multicollinearity in Small Networks: A Discussion of “Tale of Two Datasets: Representativeness and Generalisability of Inference for Samples of Networks” by Krivitsky, Coletti, and Hens pp. 2228-2231

George G. Vega Yon

Discussion of “A Tale of Two Datasets: Representativeness and Generalisability of Inference for Samples of Networks” pp. 2232-2234

Nynke M. D. Niezink

Rejoinder to Discussion of “A Tale of Two Datasets: Representativeness and Generalisability of Inference for Samples of Networks” pp. 2235-2238

Pavel N. Krivitsky, Pietro Coletti and Niel Hens

Modeling Postoperative Mortality in Older Patients by Boosting Discrete-Time Competing Risks Models pp. 2239-2249

Moritz Berger, Ana Kowark, Rolf Rossaint, Mark Coburn and Matthias Schmid

Covariate-Informed Latent Interaction Models: Addressing Geographic & Taxonomic Bias in Predicting Bird–Plant Interactions pp. 2250-2261

Georgia Papadogeorgou, Carolina Bello, Otso Ovaskainen and David B. Dunson

Analyzing Big EHR Data—Optimal Cox Regression Subsampling Procedure with Rare Events pp. 2262-2275

Nir Keret and Malka Gorfine

Accommodating Time-Varying Heterogeneity in Risk Estimation under the Cox Model: A Transfer Learning Approach pp. 2276-2287

Ziyi Li, Yu Shen and Jing Ning

Mixed-Response State-Space Model for Analyzing Multi-Dimensional Digital Phenotypes pp. 2288-2300

Tianchen Xu, Yuan Chen, Donglin Zeng and Yuanjia Wang

Bayesian Nonparametric Common Atoms Regression for Generating Synthetic Controls in Clinical Trials pp. 2301-2314

Noirrit Kiran Chandra, Abhra Sarkar, John F. de Groot, Ying Yuan and Peter Müller

Understanding Implicit Regularization in Over-Parameterized Single Index Model pp. 2315-2328

Jianqing Fan, Zhuoran Yang and Mengxin Yu

Coordinatewise Gaussianization: Theories and Applications pp. 2329-2343

Qing Mai, Di He and Hui Zou

Marginal and Conditional Multiple Inference for Linear Mixed Model Predictors pp. 2344-2355

Peter Kramlinger, Tatyana Krivobokova and Stefan Sperlich

A Zero-Inflated Logistic Normal Multinomial Model for Extracting Microbial Compositions pp. 2356-2369

Yanyan Zeng, Daolin Pang, Hongyu Zhao and Tao Wang

Toward Better Practice of Covariate Adjustment in Analyzing Randomized Clinical Trials pp. 2370-2382

Ting Ye, Jun Shao, Yanyao Yi and Qingyuan Zhao

Sparse Reduced Rank Huber Regression in High Dimensions pp. 2383-2393

Kean Ming Tan, Qiang Sun and Daniela Witten

Robust Estimation of Large Panels with Factor Structures pp. 2394-2405

Marco Avarucci and Paolo Zaffaroni

Survival Analysis via Ordinary Differential Equations pp. 2406-2421

Weijing Tang, Kevin He, Gongjun Xu and Ji Zhu

A General Pairwise Comparison Model for Extremely Sparse Networks pp. 2422-2432

Ruijian Han, Yiming Xu and Kani Chen

Bias-Adjusted Spectral Clustering in Multi-Layer Stochastic Block Models pp. 2433-2445

Jing Lei and Kevin Z. Lin

Sharp Nonparametric Bounds for Decomposition Effects with Two Binary Mediators pp. 2446-2453

Erin E. Gabriel, Michael C. Sachs and Arvid Sjölander

Self-supervised Metric Learning in Multi-View Data: A Downstream Task Perspective pp. 2454-2467

Shulei Wang

Prior-Preconditioned Conjugate Gradient Method for Accelerated Gibbs Sampling in “Large n, Large p” Bayesian Sparse Regression pp. 2468-2481

Akihiko Nishimura and Marc A. Suchard

Efficient Estimation in the Fine and Gray Model pp. 2482-2490

Thomas H. Scheike, Torben Martinussen and Brice Ozenne

Distribution-Free Prediction Sets for Two-Layer Hierarchical Models pp. 2491-2502

Robin Dunn, Larry Wasserman and Aaditya Ramdas

False Discovery Rate Control via Data Splitting pp. 2503-2520

Chenguang Dai, Buyu Lin, Xin Xing and Jun S. Liu

Bayesian Modeling of Sequential Discoveries pp. 2521-2532

Alessandro Zito, Tommaso Rigon, Otso Ovaskainen and David B. Dunson

Metropolis–Hastings via Classification pp. 2533-2547

Tetsuya Kaji and Veronika Ročková

Power-Enhanced Simultaneous Test of High-Dimensional Mean Vectors and Covariance Matrices with Application to Gene-Set Testing pp. 2548-2561

Xiufan Yu, Danning Li, Lingzhou Xue and Runze Li

Random Surface Covariance Estimation by Shifted Partial Tracing pp. 2562-2574

Tomas Masak and Victor M. Panaretos

Model-Free Conditional Feature Screening with FDR Control pp. 2575-2587

Zhaoxue Tong, Zhanrui Cai, Songshan Yang and Runze Li

Generalized Low-Rank Plus Sparse Tensor Estimation by Fast Riemannian Optimization pp. 2588-2604

Jian-Feng Cai, Jingyang Li and Dong Xia

Covariate-Assisted Sparse Tensor Completion pp. 2605-2619

Hilda S. Ibriga and Will Wei Sun

Covariance Estimation for Matrix-valued Data pp. 2620-2631

Yichi Zhang, Weining Shen and Dehan Kong

Transformation-Invariant Learning of Optimal Individualized Decision Rules with Time-to-Event Outcomes pp. 2632-2644

Yu Zhou, Lan Wang, Rui Song and Tuoyi Zhao

Sharp Sensitivity Analysis for Inverse Propensity Weighting via Quantile Balancing pp. 2645-2657

Jacob Dorn and Kevin Guo

Rank-Based Greedy Model Averaging for High-Dimensional Survival Data pp. 2658-2670

Baihua He, Shuangge Ma, Xinyu Zhang and Li-Xing Zhu

Conditional Separable Effects pp. 2671-2683

Mats J. Stensrud, James M. Robins, Aaron Sarvet, Eric J. Tchetgen Tchetgen and Jessica G. Young

Transfer Learning Under High-Dimensional Generalized Linear Models pp. 2684-2697

Ye Tian and Yang Feng

Divide-and-Conquer: A Distributed Hierarchical Factor Approach to Modeling Large-Scale Time Series Data pp. 2698-2711

Zhaoxing Gao and Ruey S. Tsay

The Maximum of the Periodogram of a Sequence of Functional Data pp. 2712-2720

Clément Cerovecki, Vaidotas Characiejus and Siegfried Hörmann

Inference for Local Parameters in Convexity Constrained Models pp. 2721-2735

Hang Deng, Qiyang Han and Bodhisattva Sen

A Bayesian Approach to Multiple-Output Quantile Regression pp. 2736-2745

Michael Guggisberg

Spatio-Temporal Cross-Covariance Functions under the Lagrangian Framework with Multiple Advections pp. 2746-2761

Mary Lai O. Salvaña, Amanda Lenzi and Marc G. Genton

Efficient Estimation for Censored Quantile Regression pp. 2762-2775

Sze Ming Lee, Tony Sit and Gongjun Xu

Multiple Change Point Detection in Reduced Rank High Dimensional Vector Autoregressive Models pp. 2776-2792

Peiliang Bai, Abolfazl Safikhani and George Michailidis

Improved Small Domain Estimation via Compromise Regression Weights pp. 2793-2809

Nicholas C. Henderson, Ravi Varadhan and Thomas A. Louis

Approximate Selective Inference via Maximum Likelihood pp. 2810-2820

Snigdha Panigrahi and Jonathan Taylor

Bayesian Inference Using Synthetic Likelihood: Asymptotics and Adjustments pp. 2821-2832

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

Permutation Tests at Nonparametric Rates pp. 2833-2846

Marinho Bertanha and EunYi Chung

Set-Valued Support Vector Machine with Bounded Error Rates pp. 2847-2859

Wenbo Wang and Xingye Qiao

Learning Topic Models: Identifiability and Finite-Sample Analysis pp. 2860-2875

Yinyin Chen, Shishuang He, Yun Yang and Feng Liang

Benign Overfitting and Noisy Features pp. 2876-2888

Zhu Li, Weijie J. Su and Dino Sejdinovic

Hypothesis Tests for Structured Rank Correlation Matrices pp. 2889-2900

Samuel Perreault, Johanna G. Nešlehová and Thierry Duchesne

Online Bootstrap Inference For Policy Evaluation In Reinforcement Learning pp. 2901-2914

Pratik Ramprasad, Yuantong Li, Zhuoran Yang, Zhaoran Wang, Will Wei Sun and Guang Cheng

Reversible Jump PDMP Samplers for Variable Selection pp. 2915-2927

Augustin Chevallier, Paul Fearnhead and Matthew Sutton

What is a Randomization Test? pp. 2928-2942

Yao Zhang and Qingyuan Zhao

Bayesian Filtering and Smoothing, 2nd ed pp. 2943-2945

Jaewoo Park

Confidence Intervals for Discrete Data in Clinical Research pp. 2945-2945

Alan Agresti

Volume 118, issue 543, 2023

Genetic Underpinnings of Brain Structural Connectome for Young Adults pp. 1473-1487

Yize Zhao, Changgee Chang, Jingwen Zhang and Zhengwu Zhang

Assessing the Most Vulnerable Subgroup to Type II Diabetes Associated with Statin Usage: Evidence from Electronic Health Record Data pp. 1488-1499

Xinzhou Guo, Waverly Wei, Molei Liu, Tianxi Cai, Chong Wu and Jingshen Wang

Compositional Graphical Lasso Resolves the Impact of Parasitic Infection on Gut Microbial Interaction Networks in a Zebrafish Model pp. 1500-1514

Chuan Tian, Duo Jiang, Austin Hammer, Thomas Sharpton and Yuan Jiang

A Correlated Network Scale-Up Model: Finding the Connection Between Subpopulations pp. 1515-1524

Ian Laga, Le Bao and Xiaoyue Niu

Causal Inference in Transcriptome-Wide Association Studies with Invalid Instruments and GWAS Summary Data pp. 1525-1537

Haoran Xue, Xiaotong Shen and Wei Pan

Assessing Disparities in Americans’ Exposure to PCBs and PBDEs based on NHANES Pooled Biomonitoring Data pp. 1538-1550

Yan Liu, Dewei Wang, Li Li and Dingsheng Li

A Scale-Free Approach for False Discovery Rate Control in Generalized Linear Models pp. 1551-1565

Chenguang Dai, Buyu Lin, Xin Xing and Jun S. Liu

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 pp. 1566-1568

Qingzhao Zhang and Shuangge Ma

Discussion of “A Scale-Free Approach for False Discovery Rate Control in Generalized Linear Models” by Dai, Lin, Xing, and Liu pp. 1569-1572

Yin Xia and T. Tony Cai

Discussion on: “A Scale-Free Approach for False Discovery Rate Control in Generalized Linear Models” by Dai, Lin, Zing, Liu pp. 1573-1577

Gerda Claeskens, Maarten Jansen and Jing Zhou

Discussion of “A Scale-Free Approach for False Discovery Rate Control in Generalized Linear Models” pp. 1578-1583

Michael Law and Peter Bühlmann

Discussion of “A Scale-Free Approach for False Discovery Rate Control in Generalized Linear Models” by Chenguang Dai, Buyu Lin, Xin Xing, and Jun S. Liu pp. 1584-1585

Lucas Janson

Comments on “A Scale-Free Approach for False Discovery Rate Control in Generalized Linear Models” pp. 1586-1589

Sai Li, Yisha Yao and Cun-Hui Zhang

Rejoinder: A Scale-free Approach for False Discovery Rate Control in Generalized Linear Models pp. 1590-1594

Chenguang Dai, Buyu Lin, Xin Xing and Jun S. Liu

Inference for High-Dimensional Exchangeable Arrays pp. 1595-1605

Harold D. Chiang, Kengo Kato and Yuya Sasaki

Test of Weak Separability for Spatially Stationary Functional Field pp. 1606-1619

Decai Liang, Hui Huang, Yongtao Guan and Fang Yao

Community Detection in General Hypergraph Via Graph Embedding pp. 1620-1629

Yaoming Zhen and Junhui Wang

Online Estimation for Functional Data pp. 1630-1644

Ying Yang Fang Yao

A General Framework for Inference on Algorithm-Agnostic Variable Importance pp. 1645-1658

Brian D. Williamson, Peter B. Gilbert, Noah R. Simon and Marco Carone

Transport Monte Carlo: High-Accuracy Posterior Approximation via Random Transport pp. 1659-1670

Leo L. Duan

An Outer-Product-of-Gradient Approach to Dimension Reduction and its Application to Classification in High Dimensional Space pp. 1671-1681

Zhibo Cai, Yingcun Xia and Weiqiang Hang

Inference and Estimation for Random Effects in High-Dimensional Linear Mixed Models pp. 1682-1691

Michael Law and Ya’acov Ritov

High-Order Joint Embedding for Multi-Level Link Prediction pp. 1692-1706

Yubai Yuan and Annie Qu

Classification Trees for Imbalanced Data: Surface-to-Volume Regularization pp. 1707-1717

Yichen Zhu, Cheng Li and David B. Dunson

Nonparametric Functional Graphical Modeling Through Functional Additive Regression Operator pp. 1718-1732

Kuang-Yao Lee, Lexin Li, Bing Li and Hongyu Zhao

Fairness-Oriented Learning for Optimal Individualized Treatment Rules pp. 1733-1746

Ethan X. Fang, Zhaoran Wang and Lan Wang

Pseudo-Bayesian Classified Mixed Model Prediction pp. 1747-1759

Haiqiang Ma and Jiming Jiang

Tukey’s Depth for Object Data pp. 1760-1772

Xiongtao Dai and Sara Lopez-Pintado

Threshold Selection in Feature Screening for Error Rate Control pp. 1773-1785

Xu Guo, Haojie Ren, Changliang Zou and Runze Li

Multifile Partitioning for Record Linkage and Duplicate Detection pp. 1786-1795

Serge Aleshin-Guendel and Mauricio Sadinle

Orthogonalized Kernel Debiased Machine Learning for Multimodal Data Analysis pp. 1796-1810

Xiaowu Dai and Lexin Li

Score Matching for Compositional Distributions pp. 1811-1823

Janice L. Scealy and Andrew T. A. Wood

Asymmetric Error Control Under Imperfect Supervision: A Label-Noise-Adjusted Neyman–Pearson Umbrella Algorithm pp. 1824-1836

Shunan Yao, Bradley Rava, Xin Tong and Gareth James

A Deep Generative Approach to Conditional Sampling pp. 1837-1848

Xingyu Zhou, Yuling Jiao, Jin Liu and Jian Huang

Sparse Topic Modeling: Computational Efficiency, Near-Optimal Algorithms, and Statistical Inference pp. 1849-1861

Ruijia Wu, Linjun Zhang and T. Tony Cai

Query-Augmented Active Metric Learning pp. 1862-1875

Yujia Deng, Yubai Yuan, Haoda Fu and Annie Qu

A Wavelet-Based Independence Test for Functional Data With an Application to MEG Functional Connectivity pp. 1876-1889

Rui Miao, Xiaoke Zhang and Raymond K. W. Wong

Generalized Good-Turing Improves Missing Mass Estimation pp. 1890-1899

Amichai Painsky

Spectral Density Estimation for Nonstationary Data With Nonzero Mean Function pp. 1900-1910

Anna E. Dudek and Łukasz Lenart

Causal Spillover Effects Using Instrumental Variables pp. 1911-1922

Gonzalo Vazquez-Bare

Efficient Fully Distribution-Free Center-Outward Rank Tests for Multiple-Output Regression and MANOVA pp. 1923-1939

Marc Hallin, Daniel Hlubinka and Šárka Hudecová

Statistical Inference with Local Optima pp. 1940-1952

Yen-Chi Chen

Identifying Effects of Multiple Treatments in the Presence of Unmeasured Confounding pp. 1953-1967

Wang Miao, Wenjie Hu, Elizabeth L. Ogburn and Xiao-Hua Zhou

Time-to-Event Analysis with Unknown Time Origins via Longitudinal Biomarker Registration pp. 1968-1983

Tianhao Wang, Sarah J. Ratcliffe and Wensheng Guo

Generalized Liquid Association Analysis for Multimodal Data Integration pp. 1984-1996

Lexin Li, Jing Zeng and Xin Zhang

Estimation of Copulas via Maximum Mean Discrepancy pp. 1997-2012

Pierre Alquier, Badr-Eddine Chérief-Abdellatif, Alexis Derumigny and Jean-David Fermanian

Bayesian Bootstrap Spike-and-Slab LASSO pp. 2013-2028

Lizhen Nie and Veronika Ročková

Real-Time Regression Analysis of Streaming Clustered Data With Possible Abnormal Data Batches pp. 2029-2044

Lan Luo, Ling Zhou and Peter X.-K. Song

Beyond Matérn: On A Class of Interpretable Confluent Hypergeometric Covariance Functions pp. 2045-2058

Pulong Ma and Anindya Bhadra

Dynamic Causal Effects Evaluation in A/B Testing with a Reinforcement Learning Framework pp. 2059-2071

Chengchun Shi, Xiaoyu Wang, Shikai Luo, Hongtu Zhu, Jieping Ye and Rui Song

Semiparametric Goodness-of-Fit Test for Clustered Point Processes with a Shape-Constrained Pair Correlation Function pp. 2072-2087

Ganggang Xu, Chen Liang, Rasmus Waagepetersen and Yongtao Guan

High-Dimensional Gaussian Graphical Regression Models with Covariates pp. 2088-2100

Jingfei Zhang and Yi Li

Optimal Estimation of the Number of Network Communities pp. 2101-2116

Jiashun Jin, Zheng Tracy Ke, Shengming Luo and Minzhe Wang

Network Structure Learning Under Uncertain Interventions pp. 2117-2128

Federico Castelletti and Stefano Peluso

Adaptive Conditional Distribution Estimation with Bayesian Decision Tree Ensembles pp. 2129-2142

Yinpu Li, Antonio R. Linero and Jared Murray

On Robustness of Individualized Decision Rules pp. 2143-2157

Zhengling Qi, Jong-Shi Pang and Yufeng Liu

Kernel Knockoffs Selection for Nonparametric Additive Models pp. 2158-2170

Xiaowu Dai, Xiang Lyu and Lexin Li

Transfer Learning in Large-Scale Gaussian Graphical Models with False Discovery Rate Control pp. 2171-2183

Sai Li, T. Tony Cai and Hongzhe Li

Testing the Effects of High-Dimensional Covariates via Aggregating Cumulative Covariances pp. 2184-2194

Runze Li, Kai Xu, Yeqing Zhou and Liping Zhu

Adversarial Machine Learning: Bayesian Perspectives pp. 2195-2206

David Rios Insua, Roi Naveiro, Víctor Gallego and Jason Poulos

Supervised Machine Learning for Text Analysis in R pp. 2207-2209

Martin Holub and Patrícia Martinková

Modern Applied Regressions: Bayesian and Frequentist Analysis of Categorical and Limited Response variables with R and Stan pp. 2209-2211

Mark Harris

Bootstrap Prediction Bands for Functional Time Series pp. 2211-2211

The Editors

Volume 118, issue 542, 2023

High-Dimensional Portfolio Selection with Cardinality Constraints pp. 779-791

Jin-Hong Du, Yifeng Guo and Xueqin Wang

A Flexible Zero-Inflated Poisson-Gamma Model with Application to Microbiome Sequence Count Data pp. 792-804

Roulan Jiang, Xiang Zhan and Tianying Wang

Feature Screening for Interval-Valued Response with Application to Study Association between Posted Salary and Required Skills pp. 805-817

Wei Zhong, Chen Qian, Wanjun Liu, Liping Zhu and Runze Li

Crime in Philadelphia: Bayesian Clustering with Particle Optimization pp. 818-829

Cecilia Balocchi, Sameer K. Deshpande, Edward I. George and Shane T. Jensen

Multivariate Temporal Point Process Regression pp. 830-845

Xiwei Tang and Lexin Li

Nonparametric Causal Effects Based on Longitudinal Modified Treatment Policies pp. 846-857

Iván Díaz, Nicholas Williams, Katherine L. Hoffman and Edward J. Schenck

Convex and Nonconvex Optimization Are Both Minimax-Optimal for Noisy Blind Deconvolution Under Random Designs pp. 858-868

Yuxin Chen, Jianqing Fan, Bingyan Wang and Yuling Yan

Wasserstein Regression pp. 869-882

Yaqing Chen, Zhenhua Lin and Hans-Georg Müller

A Reproducing Kernel Hilbert Space Approach to Functional Calibration of Computer Models pp. 883-897

Rui Tuo, Shiyuan He, Arash Pourhabib, Yu Ding and Jianhua Z. Huang

Inference for High-Dimensional Censored Quantile Regression pp. 898-912

Zhe Fei, Qi Zheng, Hyokyoung G. Hong and Yi Li

Collaborative Multilabel Classification pp. 913-924

Yunzhang Zhu, Xiaotong Shen, Hui Jiang and Wing Hung Wong

A Kernel Log-Rank Test of Independence for Right-Censored Data pp. 925-936

Tamara Fernández, Arthur Gretton, David Rindt and Dino Sejdinovic

A Particle Method for Solving Fredholm Equations of the First Kind pp. 937-947

Francesca R. Crucinio, Arnaud Doucet and Adam Johansen

Derandomizing Knockoffs pp. 948-958

Zhimei Ren, Yuting Wei and Emmanuel Candès

Greedy Segmentation for a Functional Data Sequence pp. 959-971

Yu-Ting Chen, Jeng-Min Chiou and Tzee-Ming Huang

Bootstrap Prediction Bands for Functional Time Series pp. 972-986

Efstathios Paparoditis and Han Lin Shang

Empirical Bayes Mean Estimation With Nonparametric Errors Via Order Statistic Regression on Replicated Data pp. 987-999

Nikolaos Ignatiadis, Sujayam Saha, Dennis L. Sun and Omkar Muralidharan

Communication-Efficient Accurate Statistical Estimation pp. 1000-1010

Jianqing Fan, Yongyi Guo and Kaizheng Wang

Functional Estimation and Change Detection for Nonstationary Time Series pp. 1011-1022

Fabian Mies

Variable Selection for Global Fréchet Regression pp. 1023-1037

Danielle C. Tucker, Yichao Wu and Hans-Georg Müller

Statistical Inference for High-Dimensional Matrix-Variate Factor Models pp. 1038-1055

Elynn Y. Chen and Jianqing Fan

Cross-Fitted Residual Regression for High-Dimensional Heteroscedasticity Pursuit pp. 1056-1065

Le Zhou and Hui Zou

Score-Driven Modeling of Spatio-Temporal Data pp. 1066-1077

Francesca Gasperoni, Alessandra Luati, Lucia Paci and Enzo D’Innocenzo

Bagged Filters for Partially Observed Interacting Systems pp. 1078-1089

Edward L. Ionides, Kidus Asfaw, Joonha Park and Aaron A. King

Reinforced Risk Prediction With Budget Constraint Using Irregularly Measured Data From Electronic Health Records pp. 1090-1101

Yinghao Pan, Eric B. Laber, Maureen A. Smith and Ying-Qi Zhao

Noncompliance and Instrumental Variables for 2K Factorial Experiments pp. 1102-1114

Matthew Blackwell and Nicole E. Pashley

Is a Classification Procedure Good Enough?—A Goodness-of-Fit Assessment Tool for Classification Learning pp. 1115-1125

Jiawei Zhang, Jie Ding and Yuhong Yang

Online Debiasing for Adaptively Collected High-Dimensional Data With Applications to Time Series Analysis pp. 1126-1139

Yash Deshpande, Adel Javanmard and Mohammad Mehrabi

Matching One Sample According to Two Criteria in Observational Studies pp. 1140-1151

B. Zhang, D. S. Small, K. B. Lasater, M. McHugh, J. H. Silber and P. R. Rosenbaum

Model-Robust Inference for Clinical Trials that Improve Precision by Stratified Randomization and Covariate Adjustment pp. 1152-1163

Bingkai Wang, Ryoko Susukida, Ramin Mojtabai, Masoumeh Amin-Esmaeili and Michael Rosenblum

Saddlepoint Approximations for Spatial Panel Data Models pp. 1164-1175

Chaonan Jiang, Davide La Vecchia, Elvezio Ronchetti and Olivier Scaillet

Hamiltonian-Assisted Metropolis Sampling pp. 1176-1194

Zexi Song and Zhiqiang Tan

Assumption-Lean Analysis of Cluster Randomized Trials in Infectious Diseases for Intent-to-Treat Effects and Network Effects pp. 1195-1206

Chan Park and Hyunseung Kang

Rejective Sampling, Rerandomization, and Regression Adjustment in Survey Experiments pp. 1207-1221

Zihao Yang, Tianyi Qu and Xinran Li

Structure of Nonregular Two-Level Designs pp. 1222-1233

David J. Edwards and Robert W. Mee

Model-Assisted Estimation Through Random Forests in Finite Population Sampling pp. 1234-1251

Mehdi Dagdoug, Camelia Goga and David Haziza

GEE-Assisted Variable Selection for Latent Variable Models with Multivariate Binary Data pp. 1252-1263

Francis K. C. Hui, Samuel Müller and A. H. Welsh

Optimal Simulator Selection pp. 1264-1271

Ying Hung, Li-Hsiang Lin and C. F. Jeff Wu

Identification, Semiparametric Efficiency, and Quadruply Robust Estimation in Mediation Analysis with Treatment-Induced Confounding pp. 1272-1281

Fan Xia and Kwun Chuen Gary Chan

Evaluating Association Between Two Event Times with Observations Subject to Informative Censoring pp. 1282-1294

Dongdong Li, X. Joan Hu and Rui Wang

Rerandomization in Stratified Randomized Experiments pp. 1295-1304

Xinhe Wang, Tingyu Wang and Hanzhong Liu

Independent Nonlinear Component Analysis pp. 1305-1318

Florian Gunsilius and Susanne Schennach

Statistical Inference for High-Dimensional Generalized Linear Models With Binary Outcomes pp. 1319-1332

T. Tony Cai, Zijian Guo and Rong Ma

Discrepancy Between Global and Local Principal Component Analysis on Large-Panel High-Frequency Data pp. 1333-1344

Xin-Bing Kong, Jin-Guan Lin, Cheng Liu and Guang-Ying Liu

Accelerating Bayesian Structure Learning in Sparse Gaussian Graphical Models pp. 1345-1358

Reza Mohammadi, Hélène Massam and Gérard Letac

Fast Network Community Detection With Profile-Pseudo Likelihood Methods pp. 1359-1372

Jiangzhou Wang, Jingfei Zhang, Binghui Liu, Ji Zhu and Jianhua Guo

Modeling the Extremes of Bivariate Mixture Distributions With Application to Oceanographic Data pp. 1373-1384

Stan Tendijck, Emma Eastoe, Jonathan Tawn, David Randell and Philip Jonathan

Generalized Factor Model for Ultra-High Dimensional Correlated Variables with Mixed Types pp. 1385-1401

Wei Liu, Huazhen Lin, Shurong Zheng and Jin Liu

A Likelihood-Based Approach for Multivariate Categorical Response Regression in High Dimensions pp. 1402-1414

Aaron J. Molstad and Adam J. Rothman

Data-driven selection of the number of change-points via error rate control pp. 1415-1428

Hui Chen, Haojie Ren, Fang Yao and Changliang Zou

Kernel-Based Partial Permutation Test for Detecting Heterogeneous Functional Relationship pp. 1429-1447

Xinran Li, Bo Jiang and Jun S. Liu

Statistical Thinking in Clinical Trials pp. 1448-1449

Susan S. Ellenberg

Handbook of Bayesian Variable Selection pp. 1449-1450

Yang Ni

Bayesian Conjugacy in Probit, Tobit, Multinomial Probit and Extensions: A Review and New Results pp. 1451-1469

Niccolò Anceschi, Augusto Fasano, Daniele Durante and Giacomo Zanella

Volume 118, issue 541, 2023

Editorial: What Makes for a Great Applications and Case Studies Paper? pp. 1-2

Michael L. Stein

LESA: Longitudinal Elastic Shape Analysis of Brain Subcortical Structures pp. 3-17

Zhengwu Zhang, Yuexuan Wu, Di Xiong, Joseph G. Ibrahim, Anuj Srivastava and Hongtu Zhu

Discussion of LESA: Longitudinal Elastic Shape Analysis of Brain Subcortical Structures pp. 18-19

John A. D. Aston and Eardi Lila

Discussion of “LESA: Longitudinal Elastic Shape Analysis of Brain Subcortical Structures” pp. 20-21

Moo K. Chung, Jamie L. Hanson, Richard J. Davidson and Seth D. Pollak

Discussion of “LESA: Longitudinal Elastic Shape Analysis of Brain Subcortical Structures” pp. 22-24

Daiwei Zhang and Jian Kang

Rejoinder: LESA: Longitudinal Elastic Shape Analysis of Brain Subcortical Structures pp. 25-28

Zhengwu Zhang, Yuexuan Wu, Di Xiong, Joseph G. Ibrahim, Anuj Srivastava and Hongtu Zhu

A Generalized Integration Approach to Association Analysis with Multi-category Outcome: An Application to a Tumor Sequencing Study of Colorectal Cancer and Smoking pp. 29-42

Jiayin Zheng, Xinyuan Dong, Christina C. Newton and Li Hsu

iProMix: A Mixture Model for Studying the Function of ACE2 based on Bulk Proteogenomic Data pp. 43-55

Xiaoyu Song, Jiayi Ji and Pei Wang

Capture-Recapture Models with Heterogeneous Temporary Emigration pp. 56-69

Eleni Matechou and Raffaele Argiento

Crop Yield Prediction Using Bayesian Spatially Varying Coefficient Models with Functional Predictors pp. 70-83

Yeonjoo Park, Bo Li and Yehua Li

Interpolating Population Distributions using Public-Use Data: An Application to Income Segregation using American Community Survey Data pp. 84-96

Matthew Simpson, Scott H. Holan, Christopher K. Wikle and Jonathan R. Bradley

Ultra-High Dimensional Quantile Regression for Longitudinal Data: An Application to Blood Pressure Analysis pp. 97-108

Tianhai Zu, Heng Lian, Brittany Green and Yan Yu

Eigen Selection in Spectral Clustering: A Theory-Guided Practice pp. 109-121

Xiao Han, Xin Tong and Yingying Fan

Bootstrap Inference for Quantile-based Modal Regression pp. 122-134

Tao Zhang, Kengo Kato and David Ruppert

A Model-free Variable Screening Method Based on Leverage Score pp. 135-146

Wenxuan Zhong, Yiwen Liu and Peng Zeng

Linear-Cost Covariance Functions for Gaussian Random Fields pp. 147-164

Jie Chen and Michael L. Stein

Filtering the Rejection Set While Preserving False Discovery Rate Control pp. 165-176

Eugene Katsevich, Chiara Sabatti and Marina Bogomolov

High-Dimensional MANOVA Via Bootstrapping and Its Application to Functional and Sparse Count Data pp. 177-191

Zhenhua Lin, Miles E. Lopes and Hans-Georg Müller

Multivariate Rank-Based Distribution-Free Nonparametric Testing Using Measure Transportation pp. 192-207

Nabarun Deb and Bodhisattva Sen

Regression Discontinuity Designs With a Continuous Treatment pp. 208-221

Yingying Dong, Ying-Ying Lee and Michael Gou

Controlling False Discovery Rate Using Gaussian Mirrors pp. 222-241

Xin Xing, Zhigen Zhao and Jun S. Liu

Experimental Evaluation of Individualized Treatment Rules pp. 242-256

Kosuke Imai and Michael Lingzhi Li

Conditional Functional Graphical Models pp. 257-271

Kuang-Yao Lee, Dingjue Ji, Lexin Li, Todd Constable and Hongyu Zhao

Semiparametric Efficiency in Convexity Constrained Single-Index Model pp. 272-286

Arun K. Kuchibhotla, Rohit K. Patra and Bodhisattva Sen

Variable Selection Via Thompson Sampling pp. 287-304

Yi Liu and Veronika Ročková

Model-Assisted Uniformly Honest Inference for Optimal Treatment Regimes in High Dimension pp. 305-314

Yunan Wu, Lan Wang and Haoda Fu

Functional Time Series Prediction Under Partial Observation of the Future Curve pp. 315-326

Shuhao Jiao, Alexander Aue and Hernando Ombao

Treatment Effect Estimation Under Additive Hazards Models With High-Dimensional Confounding pp. 327-342

Jue Hou, Jelena Bradic and Ronghui Xu

Partition–Mallows Model and Its Inference for Rank Aggregation pp. 343-359

Wanchuang Zhu, Yingkai Jiang, Jun S. Liu and Ke Deng

A Dynamic Interaction Semiparametric Function-on-Scalar Model pp. 360-373

Hua Liu, Jinhong You and Jiguo Cao

Estimation of the Number of Spiked Eigenvalues in a Covariance Matrix by Bulk Eigenvalue Matching Analysis pp. 374-392

Zheng Tracy Ke, Yucong Ma and Xihong Lin

Online Covariance Matrix Estimation in Stochastic Gradient Descent pp. 393-404

Wanrong Zhu, Xi Chen and Wei Biao Wu

A Common Atoms Model for the Bayesian Nonparametric Analysis of Nested Data pp. 405-416

Francesco Denti, Federico Camerlenghi, Michele Guindani and Antonietta Mira

Uniform Projection Designs and Strong Orthogonal Arrays pp. 417-423

Cheng-Yu Sun and Boxin Tang

Partially Observed Dynamic Tensor Response Regression pp. 424-439

Jie Zhou, Will Wei Sun, Jingfei Zhang and Lexin Li

Correlation Tensor Decomposition and Its Application in Spatial Imaging Data pp. 440-456

Yujia Deng, Xiwei Tang and Annie Qu

RaSE: A Variable Screening Framework via Random Subspace Ensembles pp. 457-468

Ye Tian and Yang Feng

Honest Confidence Sets for High-Dimensional Regression by Projection and Shrinkage pp. 469-488

Kun Zhou, Ker-Chau Li and Qing Zhou

Distributional (Single) Index Models pp. 489-503

Alexander Henzi, Gian-Reto Kleger and Johanna F. Ziegel

Improving Predictions When Interest Focuses on Extreme Random Effects pp. 504-513

Charles E. McCulloch and John M. Neuhaus

Adaptive-to-Model Hybrid of Tests for Regressions pp. 514-523

Lingzhu Li, Xuehu Zhu and Lixing Zhu

The Generalized Oaxaca-Blinder Estimator pp. 524-536

Kevin Guo and Guillaume Basse

Stick-Breaking Processes With Exchangeable Length Variables pp. 537-550

María F. Gil–Leyva and Ramsés H. Mena

Stochastic Tree Ensembles for Regularized Nonlinear Regression pp. 551-570

Jingyu He and P. Richard Hahn

Sparse Identification and Estimation of Large-Scale Vector AutoRegressive Moving Averages pp. 571-582

Ines Wilms, Sumanta Basu, Jacob Bien and David S. Matteson

Simultaneous Inference for Empirical Best Predictors With a Poverty Study in Small Areas pp. 583-595

Katarzyna Reluga, María-José Lombardía and Stefan Sperlich

Latent Gaussian Count Time Series pp. 596-606

Yisu Jia, Stefanos Kechagias, James Livsey, Robert Lund and Vladas Pipiras

False Discovery Rate Control Under General Dependence By Symmetrized Data Aggregation pp. 607-621

Lilun Du, Xu Guo, Wenguang Sun and Changliang Zou

Individualized Group Learning pp. 622-638

Chencheng Cai, Rong Chen and Min-ge Xie

Estimation of Knots in Linear Spline Models pp. 639-650

Guangyu Yang, Baqun Zhang and Min Zhang

Efficient Estimation for Random Dot Product Graphs via a One-Step Procedure pp. 651-664

Fangzheng Xie and Yanxun Xu

Random Forests for Spatially Dependent Data pp. 665-683

Arkajyoti Saha, Sumanta Basu and Abhirup Datta

Nonparametric Bounds for Causal Effects in Imperfect Randomized Experiments pp. 684-692

Erin E. Gabriel, Arvid Sjölander and Michael C. Sachs

Recovering Latent Variables by Matching pp. 693-706

Manuel Arellano and Stéphane Bonhomme

Estimating Causal Peer Influence in Homophilous Social Networks by Inferring Latent Locations pp. 707-718

Edward McFowland and Cosma Rohilla Shalizi

A Normality Test for High-dimensional Data Based on the Nearest Neighbor Approach pp. 719-731

Hao Chen and Yin Xia

Structure–Adaptive Sequential Testing for Online False Discovery Rate Control pp. 732-745

Bowen Gang, Wenguang Sun and Weinan Wang

A Joint MLE Approach to Large-Scale Structured Latent Attribute Analysis pp. 746-760

Yuqi Gu and Gongjun Xu

Differential Privacy for Government Agencies—Are We There Yet? pp. 761-773

Jörg Drechsler

Data Science Ethics: Concepts, Techniques and Cautionary Tales pp. 774-776

Sabrina Giordano

Handbook of Measurement Error Models pp. 776-777

Kwun Chuen Gary Chan

Correction to “Modeling Time-Varying Random Objects and Dynamic Networks” pp. 778-778

The Editors