Journal Statistics

213
Journal of the Royal Statistical Society Series B
papers tracked
518
Journal of the American Statistical Association
papers tracked
189
Annals of Statistics
papers tracked
143
Biometrika
papers tracked
478
Journal of Machine Learning Research
papers tracked

Recent Papers

Biometrika Oct 27, 2026
General Frameworks for Conditional Two-Sample Testing

Ilmun Kim, Seongchan Lee, Suman Cha

Hypothesis Testing
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JASA Oct 27, 2026
POLAR: A Pessimistic Model-based Policy Learning Algorithm for Dynamic Treatment Regimes

Yanxun Xu, Zhengling Qi, Ruijia Zhang et al.

Computational Statistics
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Biometrika Oct 27, 2026
Test of partial effects for Fréchet regression on Bures-Wasserstein manifolds

Hongzhe Li, Haoshu Xu

Machine Learning
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JASA Oct 27, 2026
A Tail Likelihood Ratio Method for Large-scale Causal Mediation Tests in Epigenome-Wide Studies

Xihong Lin, Ruoyu Wang, Haoyu Yang et al.

Causal Inference Machine Learning
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JASA Oct 27, 2026
Multivariate Poisson intensity estimation via low-rank tensor decomposition

Oscar Hernan Madrid Padilla, Carlos Misael Madrid Padilla, Haotian Xu et al.

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Biometrika Oct 27, 2026
Using fractional derivatives to derive marginal densities

S Y Li, D A van Dyk, M Autenrieth

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JRSSB Oct 27, 2026
Asymptotic theory of the quadratic assignment procedure for dyadic data analysis

Peng Ding, Lei Shi

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JASA Oct 27, 2026
Sensitivity Analysis for the Test-Negative Design

Peng Ding, Xinran Li, Jingshu Wang et al.

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JRSSB Oct 26, 2026
Beyond vintage rotation: bias-free sparse representation learning with oracle inference

Yunxiao Chen, Gongjun Xu, Jing Ouyang et al.

High-Dimensional Statistics
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JASA Oct 23, 2026
A Factor Model Based Time-Varying Auto-Align Overlapping Clustering

Kean Ming Tan, Yang Ning, Yanxin Jin et al.

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Biometrika Oct 23, 2026
Blockwise dynamic selection of smoothing parameters for kernel estimators of nonstationary densities of streaming data

F Camirand Lemyre, A Delaigle, J Mao

Nonparametric Statistics
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Biometrika Oct 22, 2026
Testing matrix factor structure via generalized likelihood ratio

Tong Zhang, Xinbing Kong, Liwen Zhang

Hypothesis Testing
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JRSSB Oct 22, 2026
Semiparametric learning from open-set label shift data

Siyan Liu, Qinglong Tian, Pengfei Li et al.

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JRSSB Oct 22, 2026
Correction to: “Linear regression and its inference on noisy network-linked data”

Can M Le, Tianxi Li

Machine Learning
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JASA Oct 20, 2026
Bayesian Statistical Methods: With Applications to Machine Learning, 2nd ed.

Bruno Sansó

Machine Learning Bayesian Statistics
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JASA Oct 20, 2026
Variable Selection for Additive Global Fréchet Regression

Bing Li, Satarupa Bhattacharjee, Lingzhou Xue et al.

Machine Learning
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JASA Oct 20, 2026
A Generalized Tangent Approximation based Variational Inference Framework for Strongly Super-Gaussian Likelihoods

Somjit Roy, Pritam Dey, Debdeep Pati et al.

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JASA Oct 20, 2026
Modeling Amplitude and Phase Variation of Multivariate Random Processes in Metric Spaces*

Yaqing Chen, Kyum Kim

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JASA Oct 20, 2026
Confounder-robust causal discovery and inference in Perturb-seq using proxy and instrumental variables

Hongzhe Li, Kwangmoon Park

Causal Inference
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JASA Oct 20, 2026
A Spatial Interference Approach to Account for Mobility in Air Pollution Studies with Multivariate Continuous Treatments

Heejun Shin, Danielle Braun, Kezia Irene et al.

Machine Learning
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