Academic Journal
Q1Journal of the American Statistical Association
About Journal of the American Statistical Association
Journal of the American Statistical Association is a scholarly journal published by Taylor and Francis Ltd.. SCImago 2025 places it in Q1 with an SJR of 3.79 and an H-index of 238.
Its listed coverage is 1922-2026 and its research categories include Statistics and Probability (Q1); Statistics, Probability and Uncertainty (Q1). The 2025 dataset reports 304 documents and 3149 citations across the latest three-year reporting window.
Journal Metrics
Metrics can change by reporting year. Verify time-sensitive values with the publisher or indexing service.
Aims & Scope
The journal publishes research related to Advanced Statistical Methods and Models, Statistical Methods and Inference, Statistical Methods and Bayesian Inference, Bayesian Methods and Mixture Models, Statistical Distribution Estimation and Applications, Statistical Methods in Clinical Trials.
Recent Research Articles
Latest publications matched automatically by ISSN.
Optimal Model Selection for Conformalized Robust Optimization
Yajie Bao, Yang Hu, Haojie Ren, Peng Zhao et al.
2026-09-22 · DOI: 10.1080/01621459.2026.2736788Entity Ranking with Covariates and Sparse Intrinsic Scores
Jianqing Fan, Jikai Hou, Mengxin Yu
2026-09-22 · DOI: 10.1080/01621459.2026.2735065Effect Decomposition of Functional-Output Computer Experiments via Orthogonal Additive Gaussian Processes
Yu Tan, Yongxiang Li, Xiaowu Dai, Kwok-Leung Tsui et al.
2026-09-22 · DOI: 10.1080/01621459.2026.2736783A flexible Bayesian framework for detecting cross-sample spatial expression variability in heterogeneous tissues
Meng Zhou, Shuangge Ma, Mengyun Wu
2026-09-22 · DOI: 10.1080/01621459.2026.2737387Two-way Homogeneity Pursuit for Quantile Network Vector Autoregression
Wenyang Liu, Ganggang Xu, Jianqing Fan, Xuening Zhu et al.
2026-09-14 · DOI: 10.1080/01621459.2026.2732273Optimal estimation in private distributed functional data analysis
Gengyu Xue, Zhenhua Lin, Yi Yu
2026-09-11 · DOI: 10.1080/01621459.2026.2730522Privacy-Preserving Transfer Learning for Community Detection using Locally Distributed Multiple Networks
Xiao Guo, Xuming He, Xiangyu Chang, Shujie Ma et al.
2026-09-10 · DOI: 10.1080/01621459.2026.2732172Asymptotic FDR Control with Model-X Knockoffs: Is Moments Matching Sufficient?
Yingying Fan, Lan Gao, Jinchi Lv, Xiaocong Xu et al.
2026-09-10 · DOI: 10.1080/01621459.2026.2731642Model-free Feature Screening and False Discovery Control for High-dimensional Quantile Regressions
Cong Cheng, Tianyi Zhang, Runze Li, Yuan Ke et al.
2026-09-10 · DOI: 10.1080/01621459.2026.2729128Bending the Learning Curve for EHR Research via Knowledge-Driven Online Multimodal Automated Phenotyping System
Xin Xiong, Sara Morini Sweet, Chuan Hong, Clara-Lea Bonzel et al.
2026-09-09 · DOI: 10.1080/01621459.2026.2730499Nonparametric Statistics on Stratified Spaces and Their Applications in Object Data Analysis.
Lingxuan Shao
2026-09-08 · DOI: 10.1080/01621459.2026.2723305Guided Adversarial Robust Transfer Learning with Source Mixing
Xin Xiong, Zijian Guo, Tianxi Cai
2026-09-08 · DOI: 10.1080/01621459.2026.2675620A Distributionally Robust Optimization Framework for Extreme Event Estimation
Yuanlu Bai, Henry Lam, Xinyu Zhang
2026-09-08 · DOI: 10.1080/01621459.2026.2731641Random Patterns and Structures in Spatial Data.
Emilio Porcu, Marcos López de Prado
2026-09-08 · DOI: 10.1080/01621459.2026.2729134Bayesian Spatiotemporal Wombling
Aritra Halder, Didong Li, Sudipto Banerjee
2026-09-08 · DOI: 10.1080/01621459.2026.2700798Taxonomy and Estimation of Multiple Breakpoints in High-Dimensional Factor Models*
Jiangtao Duan, Jushan Bai, Xu Han
2026-09-08 · DOI: 10.1080/01621459.2026.2719782A Unified Framework for Rerandomization using Quadratic Forms
Kyle Schindl, Zach Branson
2026-09-08 · DOI: 10.1080/01621459.2026.2702652Optimal Federated Learning for Nonparametric Regression with Heterogeneous Distributed Differential Privacy Constraints
T. Tony Cai, Abhinav Chakraborty, Lasse Vuursteen
2026-09-08 · DOI: 10.1080/01621459.2026.2731119Representation Retrieval Learning for Heterogeneous Data Integration
Qi Xu, Annie Qu
2026-09-08 · DOI: 10.1080/01621459.2026.2696485Observable versus Latent Factors
Yuan Liao, Viktor Todorov
2026-09-08 · DOI: 10.1080/01621459.2026.2701436Reviews
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September 8, 2026 at 12:04 am
September 8, 2026