Journal Statistics

195
Journal of the Royal Statistical Society Series B
papers tracked
443
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

JRSSB Aug 06, 2026
Knockoff inference under privacy constraints

Yingying Fan, Zhanrui Cai, Lan Gao

Machine Learning
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JASA Aug 06, 2026
Statistical Modeling of Combinatorial Response Data

Yu Zheng, Malay Ghosh, Leo Duan

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JASA Aug 06, 2026
Double/Debiased Machine Learning for Treatment Effects in Dynamic Panels

Peikai Wu, Zhiguo Xiao

Causal Inference Machine Learning
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JRSSB Aug 06, 2026
The promises of multiple experiments: identifying joint distribution of potential outcomes

Peng Wu, Xiaojie Mao

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JASA Aug 06, 2026
Poisson-Process Topic Model for Integrating Knowledge from Pre-trained Language Models

Zheng Tracy Ke, Morgane Austern, Yuanchuan Guo et al.

Machine Learning
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JASA Aug 06, 2026
A Spectral Confounder Adjustment for Spatial Regression with Multiple Exposures and Outcomes

Shu Yang, Shih-Ni Prim, Yawen Guan et al.

Machine Learning
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JASA Aug 06, 2026
Consistent Distribution-Free and Affine-Invariant Tests for the Validity of Independent Component Models

Klaus Nordhausen, Marc Hallin, Simos G. Meintanis

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JRSSB Aug 05, 2026
Asymptotic inference with flexible covariate adjustment under rerandomization and stratified rerandomization

Fan Li, Bingkai Wang

Experimental Design
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JASA Aug 05, 2026
Enhancing Spectral Embedding through Robust and Flexible Knowledge Transfer in Electronic Health Records

Rong Ma, Tianxi Cai, Zongqi Xia et al.

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JRSSB Aug 04, 2026
Optimized annealed sequential Monte Carlo samplers

Saifuddin Syed, Alexandre Bouchard-Côté, Kevin Chern et al.

Computational Statistics
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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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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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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
Parallelly Tempered Generative Adversarial Nets: Toward Stabilized Gradients

Jinwon Sohn, Qifan Song

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

Gongjun Xu, Chengyu Cui

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