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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

From Taylor & Francis Journals
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Volume 119, issue 545, 2024

Overcoming Repeated Testing Schedule Bias in Estimates of Disease Prevalence pp. 1-13 Downloads
Patrick M. Schnell, Matthew Wascher and Grzegorz A. Rempala
Heterogeneous Distributed Lag Models to Estimate Personalized Effects of Maternal Exposures to Air Pollution pp. 14-26 Downloads
Daniel Mork, Marianthi-Anna Kioumourtzoglou, Marc Weisskopf, Brent A. Coull and Ander Wilson
A Semiparametric Inverse Reinforcement Learning Approach to Characterize Decision Making for Mental Disorders pp. 27-38 Downloads
Xingche Guo, Donglin Zeng and Yuanjia Wang
Hierarchical Neyman-Pearson Classification for Prioritizing Severe Disease Categories in COVID-19 Patient Data pp. 39-51 Downloads
Lijia Wang, Y. X. Rachel Wang, Jingyi Jessica Li and Xin Tong
A Feasibility Study of Differentially Private Summary Statistics and Regression Analyses with Evaluations on Administrative and Survey Data pp. 52-65 Downloads
Andrés F. Barrientos, Aaron R. Williams, Joshua Snoke and Claire McKay Bowen
Bayesian Lesion Estimation with a Structured Spike-and-Slab Prior pp. 66-80 Downloads
Anna Menacher, Thomas E. Nichols, Chris Holmes and Habib Ganjgahi
Operator-Induced Structural Variable Selection for Identifying Materials Genes pp. 81-94 Downloads
Shengbin Ye, Thomas P. Senftle and Meng Li
Latent Network Structure Learning From High-Dimensional Multivariate Point Processes pp. 95-108 Downloads
Biao Cai, Jingfei Zhang and Yongtao Guan
Bayesian Markov-Switching Tensor Regression for Time-Varying Networks pp. 109-121 Downloads
Monica Billio, Roberto Casarin and Matteo Iacopini
Conformal Sensitivity Analysis for Individual Treatment Effects pp. 122-135 Downloads
Mingzhang Yin, Claudia Shi, Yixin Wang and David M. Blei
Randomization-based Joint Central Limit Theorem and Efficient Covariate Adjustment in Randomized Block 2K Factorial Experiments pp. 136-150 Downloads
Hanzhong Liu, Jiyang Ren and Yuehan Yang
A New and Unified Family of Covariate Adaptive Randomization Procedures and Their Properties pp. 151-162 Downloads
Wei Ma, Ping Li, Li-Xin Zhang and Feifang Hu
Heavy-Tailed Density Estimation pp. 163-175 Downloads
Surya T. Tokdar, Sheng Jiang and Erika L. Cunningham
Nonparametric Estimation of Repeated Densities with Heterogeneous Sample Sizes pp. 176-188 Downloads
Jiaming Qiu, Xiongtao Dai and Zhengyuan Zhu
Hidden Markov Pólya Trees for High-Dimensional Distributions pp. 189-201 Downloads
Naoki Awaya and Li Ma
Low-Rank Regression Models for Multiple Binary Responses and their Applications to Cancer Cell-Line Encyclopedia Data pp. 202-216 Downloads
Seyoung Park, Eun Ryung Lee and Hongyu Zhao
Bias-Correction and Test for Mark-Point Dependence with Replicated Marked Point Processes pp. 217-231 Downloads
Ganggang Xu, Jingfei Zhang, Yehua Li and Yongtao Guan
Statistically Efficient Advantage Learning for Offline Reinforcement Learning in Infinite Horizons pp. 232-245 Downloads
Chengchun Shi, Shikai Luo, Yuan Le, Hongtu Zhu and Rui Song
Nearly Dimension-Independent Sparse Linear Bandit over Small Action Spaces via Best Subset Selection pp. 246-258 Downloads
Yi Chen, Yining Wang, Ethan X. Fang, Zhaoran Wang and Runze Li
An Empirical Bayes Approach to Shrinkage Estimation on the Manifold of Symmetric Positive-Definite Matrices pp. 259-272 Downloads
Chun-Hao Yang, Hani Doss and Baba C. Vemuri
Off-Policy Confidence Interval Estimation with Confounded Markov Decision Process pp. 273-284 Downloads
Chengchun Shi, Jin Zhu, Shen Ye, Shikai Luo, Hongtu Zhu and Rui Song
Optimal One-Pass Nonparametric Estimation Under Memory Constraint pp. 285-296 Downloads
Mingxue Quan and Zhenhua Lin
Optimal Nonparametric Inference with Two-Scale Distributional Nearest Neighbors pp. 297-307 Downloads
Emre Demirkaya, Yingying Fan, Lan Gao, Jinchi Lv, Patrick Vossler and Jingbo Wang
Dynamic Principal Component Analysis in High Dimensions pp. 308-319 Downloads
Xiaoyu Hu and Fang Yao
Scaled Process Priors for Bayesian Nonparametric Estimation of the Unseen Genetic Variation pp. 320-331 Downloads
Federico Camerlenghi, Stefano Favaro, Lorenzo Masoero and Tamara Broderick
Selective Inference for Hierarchical Clustering pp. 332-342 Downloads
Lucy L. Gao, Jacob Bien and Daniela Witten
Subspace Estimation with Automatic Dimension and Variable Selection in Sufficient Dimension Reduction pp. 343-355 Downloads
Jing Zeng, Qing Mai and Xin Zhang
Fast and Numerically Stable Particle-Based Online Additive Smoothing: The AdaSmooth Algorithm pp. 356-367 Downloads
Alessandro Mastrototaro, Jimmy Olsson and Johan Alenlöv
An Additive Graphical Model for Discrete Data pp. 368-381 Downloads
Jun Tao, Bing Li and Lingzhou Xue
Bootstrapping Extreme Value Estimators pp. 382-393 Downloads
Laurens de Haan and Chen Zhou
Fisher-Pitman Permutation Tests Based on Nonparametric Poisson Mixtures with Application to Single Cell Genomics pp. 394-406 Downloads
Zhen Miao, Weihao Kong, Ramya Korlakai Vinayak, Wei Sun and Fang Han
Modeling and Active Learning for Experiments with Quantitative-Sequence Factors pp. 407-421 Downloads
Qian Xiao, Yaping Wang, Abhyuday Mandal and Xinwei Deng
Bayesian Spatial Blind Source Separation via the Thresholded Gaussian Process pp. 422-433 Downloads
Ben Wu, Ying Guo and Jian Kang
Using SVD for Topic Modeling pp. 434-449 Downloads
Zheng Tracy Ke and Minzhe Wang
To Adjust or not to Adjust? Estimating the Average Treatment Effect in Randomized Experiments with Missing Covariates pp. 450-460 Downloads
Anqi Zhao and Peng Ding
Anomaly Detection for a Large Number of Streams: A Permutation-Based Higher Criticism Approach pp. 461-474 Downloads
Ivo V. Stoepker, Rui M. Castro, Ery Arias-Castro and Edwin van den Heuvel
Assumption-Lean Cox Regression pp. 475-484 Downloads
Stijn Vansteelandt, Oliver Dukes, Kelly Van Lancker and Torben Martinussen
Learning Coefficient Heterogeneity over Networks: A Distributed Spanning-Tree-Based Fused-Lasso Regression pp. 485-497 Downloads
Xin Zhang, Jia Liu and Zhengyuan Zhu
An Algebraic Estimator for Large Spectral Density Matrices pp. 498-510 Downloads
Matteo Barigozzi and Matteo Farnè
Fisher’s Combined Probability Test for High-Dimensional Covariance Matrices pp. 511-524 Downloads
Xiufan Yu, Danning Li and Lingzhou Xue
Large Scale Prediction with Decision Trees pp. 525-537 Downloads
Jason M. Klusowski and Peter M. Tian
Distribution of Distances based Object Matching: Asymptotic Inference pp. 538-551 Downloads
Christoph Alexander Weitkamp, Katharina Proksch, Carla Tameling and Axel Munk
Policy Optimization Using Semiparametric Models for Dynamic Pricing pp. 552-564 Downloads
Jianqing Fan, Yongyi Guo and Mengxin Yu
Inference in Heavy-Tailed Nonstationary Multivariate Time Series pp. 565-581 Downloads
Matteo Barigozzi, Giuseppe Cavaliere and Lorenzo Trapani
A Mass-Shifting Phenomenon of Truncated Multivariate Normal Priors pp. 582-596 Downloads
Shuang Zhou, Pallavi Ray, Debdeep Pati and Anirban Bhattacharya
Causal Inference for Social Network Data pp. 597-611 Downloads
Elizabeth L. Ogburn, Oleg Sofrygin, Iván Díaz and Mark J. van der Laan
Estimating the Spectral Density at Frequencies Near Zero pp. 612-624 Downloads
Tucker McElroy and Dimitris N. Politis
Estimating Optimal Infinite Horizon Dynamic Treatment Regimes via pT-Learning pp. 625-638 Downloads
Wenzhuo Zhou, Ruoqing Zhu and Annie Qu
Statistical Learning for Individualized Asset Allocation pp. 639-649 Downloads
Yi Ding, Yingying Li and Rui Song
Multi-Task Learning with High-Dimensional Noisy Images pp. 650-663 Downloads
Xin Ma and Suprateek Kundu
Modeling Point Referenced Spatial Count Data: A Poisson Process Approach pp. 664-677 Downloads
Diego Morales-Navarrete, Moreno Bevilacqua, Christian Caamaño-Carrillo and Luis M. Castro
Robust Inference and Modeling of Mean and Dispersion for Generalized Linear Models pp. 678-689 Downloads
Jolien Ponnet, Pieter Segaert, Stefan Van Aelst and Tim Verdonck
Stochastic Convergence Rates and Applications of Adaptive Quadrature in Bayesian Inference pp. 690-700 Downloads
Blair Bilodeau, Alex Stringer and Yanbo Tang
Nonparametric Two-Sample Tests of High Dimensional Mean Vectors via Random Integration pp. 701-714 Downloads
Yunlu Jiang, Xueqin Wang, Canhong Wen, Yukang Jiang and Heping Zhang
Robust High-Dimensional Regression with Coefficient Thresholding and Its Application to Imaging Data Analysis pp. 715-729 Downloads
Bingyuan Liu, Qi Zhang, Lingzhou Xue, Peter X.-K. Song and Jian Kang
Fair Policy Targeting pp. 730-743 Downloads
Davide Viviano and Jelena Bradic
Projection Test for Mean Vector in High Dimensions pp. 744-756 Downloads
Wanjun Liu, Xiufan Yu, Wei Zhong and Runze Li
Matching on Generalized Propensity Scores with Continuous Exposures pp. 757-772 Downloads
Xiao Wu, Fabrizia Mealli, Marianthi-Anna Kioumourtzoglou, Francesca Dominici and Danielle Braun
Recommender Systems: A Review pp. 773-785 Downloads
Patrick M. LeBlanc, David Banks, Linhui Fu, Mingyan Li, Zhengyu Tang and Qiuyi Wu
Statistical Analytics for Health Data Science with SAS and R pp. 786-787 Downloads
Ali Rahnavard
Martingale Methods in Statistics pp. 787-789 Downloads
Insuk Seo
Stable Lévy Processes via Lamperti-Type Representations pp. 789-790 Downloads
Giacomo Bormetti
Fundamentals of Causal Inference: With R pp. 790-791 Downloads
Ting Ye
Handbook of Matching and Weighting Adjustments for Causal Inference pp. 791-791 Downloads
Raymond K. W. Wong
The Journal of the American Statistical Association 2023 Associate Editors pp. 792-793 Downloads
The Editors
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