Journal Statistics

191
Journal of the Royal Statistical Society Series B
papers tracked
438
Journal of the American Statistical Association
papers tracked
169
Annals of Statistics
papers tracked
124
Biometrika
papers tracked
409
Journal of Machine Learning Research
papers tracked

Recent Papers

JASA Aug 03, 2026
Structured Mixture of Continuation-ratio Logits Models for Ordinal Regression

Athanasios Kottas, Jizhou Kang

Machine Learning
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JASA Aug 03, 2026
Metropolis–Hastings with Scalable Subsampling

Christopher Nemeth, Estevão Prado, Chris Sherlock

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JASA Aug 03, 2026
Safe, Always-Valid Alpha-Investing Rules For Doubly Sequential Online Inference

Wenguang Sun, Zeyu Yao, Bowen Gang

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JASA Aug 03, 2026
Fairness-aware Gaussian Graphical Regression Models with Application to Brain Co-expression QTL Studies

Linglong Kong, Bei Jiang, Xingcai Zhou et al.

Machine Learning
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JASA Aug 03, 2026
BAP: Bayesian Biomarker-Assisted Platform Design for Dose Ranging in Multi-Agent Multi-Dose Trials

Li Wang, Peter F. Thall, Ying Yuan et al.

Bayesian Statistics
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JASA Aug 03, 2026
Kernel-based Adaptive Huber Mean Regression with Heavy Tails and Contamination

Heng Lian, Jiamin Liu

Nonparametric Statistics Machine Learning
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JRSSB Jul 31, 2026
False discovery rate control with compound p-values

Rina Foygel Barber, Richard J Samworth

Hypothesis Testing
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JRSSB Jul 29, 2026
Deep learning with missing data

Tengyao Wang, Tianyi Ma, Richard J Samworth

Machine Learning
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JASA Jul 27, 2026
Randomization Tests for Adaptively Collected Data

Lucas Janson, Yash Nair

Experimental Design
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JASA Jul 27, 2026
Distributed Semiparametric Inference for Heterogeneous Sites via Single-Round Communication

Yong Chen, Yudong Wang, Zhisheng Ye et al.

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JASA Jul 27, 2026
Optimal Network-Guided Covariate Selection for High-Dimensional Data Integration

Wanjie Wang, Tao Shen

High-Dimensional Statistics
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JASA Jul 27, 2026
Causal Inference with Generative Artificial Intelligence: Application to Texts as Treatments*

Kosuke Imai, Kentaro Nakamura

Causal Inference Machine Learning
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JASA Jul 27, 2026
Identifiability and Inference for Generalized Latent Factor Models

Gongjun Xu, Chengyu Cui

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JASA Jul 27, 2026
Parallelly Tempered Generative Adversarial Nets: Toward Stabilized Gradients

Jinwon Sohn, Qifan Song

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JASA Jul 27, 2026
Scalable Bayesian Inference for Time Series via Divide and Conquer

David Dunson, Rihui Ou, Lachlan Astfalck et al.

Bayesian Statistics Time Series
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JASA Jul 27, 2026
Enhanced localized conformal prediction with imperfect auxiliary information

Changliang Zou, Yinjie Min, Liuhua Peng

Statistical Learning
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JASA Jul 27, 2026
Interpretable Scalar-on-Image Linear Regression Models via the Generalized Dantzig Selector

Sijia Liao, Xiaoxiao Sun, Ning Hao et al.

Machine Learning
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JASA Jul 27, 2026
Post-clustering Inference under Dependence

Javier González-Delgado, Mathis Deronzier, Juan Cortés et al.

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JASA Jul 27, 2026
Online Change Rate Learning for Functional Data

Deru Kong, Ping Yu, Tiejun Tong et al.

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JASA Jul 27, 2026
Weight-calibrated estimation for factor models of high-dimensional time series*

Qiwei Yao, Bo Zhang, Xinghao Qiao et al.

High-Dimensional Statistics Time Series
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