Journal Statistics

148
Journal of the Royal Statistical Society Series B
papers tracked
369
Journal of the American Statistical Association
papers tracked
155
Annals of Statistics
papers tracked
109
Biometrika
papers tracked
320
Journal of Machine Learning Research
papers tracked

Recent Papers

JRSSB May 14, 2026
Cross-validation with antithetic Gaussian randomization

Snigdha Panigrahi, Sifan Liu, Jake A Soloff

Statistical Learning Experimental Design
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JASA May 13, 2026
Clustering Social Media Users Using Categorical-Valued Functional Data Analysis

Xiaoxia Champon, Ana-Maria Staicu, Anthony Weishampel et al.

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JASA May 13, 2026
Seminal Ideas and Controversies in Statistics (by Roderick J. A. Little)

Jonathan P Williams

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JASA May 13, 2026
Optimized variance estimation under interference and complex experimental designs

Christopher Harshaw, Joel Middleton, Fredrik Sävje

Experimental Design
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JASA May 13, 2026
Robust Microbial Signature Discovery via Post-Selection Inference for Microbiome Compositions

Hongyu Zhao, Tao Wang, Weihao Wang et al.

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JRSSB May 13, 2026
Sequential model confidence sets

Georgios Gavrilopoulos, Johanna Ziegel, Sebastian Arnold et al.

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JASA May 13, 2026
Bayesian Precision Medicine.

Yang Ni

Bayesian Statistics
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JASA May 13, 2026
An efficient Monte Carlo method for valid prior-free possibilistic statistical inference

Ryan Martin

Computational Statistics Bayesian Statistics
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JRSSB May 11, 2026
Statistical inference for Gaussian Whittle–Matérn fields on metric graphs

David Bolin, Alexandre B Simas, Jonas Wallin

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JASA May 11, 2026
Scalable Bayesian Image-on-Scalar Regression for Population-Scale Neuroimaging Data Analysis

Jian Kang, Yuliang Xu, Timothy D. Johnson et al.

Machine Learning Bayesian Statistics
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JASA May 11, 2026
Principled Estimation and Prediction with Competing Risks: a Bayesian Nonparametric Approach

Antonio Lijoi, Igor Prünster, Claudio Del Sole

Nonparametric Statistics Bayesian Statistics Statistical Learning
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JASA May 11, 2026
Scalable calibration of individual-based epidemic models through categorical approximations

Nick Whiteley, Lorenzo Rimella, Michael Whitehouse et al.

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JASA May 11, 2026
Efficient Human-in-the-Loop Active Learning: A Novel Framework for Data Labeling in AI Systems

Haoda Fu, Yiran Huang, Jian-Feng Yang

Machine Learning
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AOS May 08, 2026
Gaussian and Bootstrap Approximation for Matching-based Average Treatment Effect Estimators

Krishnakumar Balasubramanian, Wolfgang Polonik, Zhaoyang Shi et al.

Causal Inference
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AOS May 07, 2026
Active Subsampling for Measurement-Constrained M-Estimation of Individualized Thresholds with High-Dimensional Data

Yang Ning, Jingyi Duan, Lehao Fu

Machine Learning High-Dimensional Statistics
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AOS May 05, 2026
Data assimilation with the $2D$ Navier-Stokes equations: Optimal Gaussian asymptotics for the posterior measure

Richard Nickl, Dimitri Konen

Bayesian Statistics
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AOS May 05, 2026
Higher-Order Graphon Theory: Fluctuations, Degeneracies, and Inference

Anirban Chatterjee, Soham Dan, Bhaswar Bikram Bhattacharya

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AOS May 05, 2026
Statistical Impossibility and Possibility of Aligning LLMs with Human Preferences: From Condorcet Paradox to Nash Equilibrium

Weijie Su, Jiancong Xiao, Qi Long et al.

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Biometrika May 05, 2026
Design Stability in Adaptive Experiments: Implications for Treatment Effect Estimation

Koulik Khamaru, Saikat Sengupta, Suvrojit Ghosh et al.

Causal Inference
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Biometrika May 05, 2026
A Ball Divergence-Based Measure for Conditional Independence Testing With a Local Wild Bootstrap

Bhaswar B Bhattacharya, Bilol Banerjee, Anil K Ghosh

Hypothesis Testing
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