Journal of the American Statistical Association

2008 - 2023

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 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