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 From Taylor & Francis Journals Bibliographic data for series maintained by Chris Longhurst (). Access Statistics for this journal.
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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
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