Journal Statistics

198
Journal of the Royal Statistical Society Series B
papers tracked
465
Journal of the American Statistical Association
papers tracked
176
Annals of Statistics
papers tracked
126
Biometrika
papers tracked
409
Journal of Machine Learning Research
papers tracked

Recent Papers

AOS Aug 28, 2026
On forest-type tree ensemble approaches to density learning under a generalized Bayesian framework

Linxi Liu, Li Ma

Bayesian Statistics
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JASA Aug 28, 2026
“Rebuilding” Statistics in the Age of AI: Culture, Infrastructure, and Training

Xihong Lin, Hongtu Zhu, Jian Kang et al.

Machine Learning
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JASA Aug 28, 2026
Transfer Learning for Covariance Matrix Estimation: Optimality and Adaptivity

Yicheng Li, T. Tony Cai, Dongwoo Kim et al.

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JASA Aug 27, 2026
Second-Order Sparse Sufficient Dimension Reduction with Applications to Quadratic Discriminant Analysis

Xin Zhang, Jing Zeng, Ning Hao

High-Dimensional Statistics
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JASA Aug 27, 2026
Principal-Agent Hypothesis Testing

Michael I. Jordan, Stephen Bates, Michael Sklar et al.

Hypothesis Testing
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JASA Aug 27, 2026
Multilinear Ordinary Differential Equations for Inferring Gene Regulatory Network from Multimodal Functional Data

Heng Zhang, Zhi-Ping Liu

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JASA Aug 27, 2026
Quantile regression for censored data with a cure fraction

Bo Han, Ingrid Van Keilegom, Xiaoguang Wang

Machine Learning
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JASA Aug 27, 2026
Group Sequential Design with Posterior and Posterior Predictive Probabilities

Luke Hagar, Shirin Golchi, Marina B. Klein

Bayesian Statistics
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JASA Aug 27, 2026
Estimating the Number of Components in Finite Mixture Models via Variational Approximation

Yun Yang, Chenyang Wang

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JASA Aug 27, 2026
A General Latent Embedding Approach for Modeling Non-uniform High-dimensional Sparse Hypergraphs with Multiplicity

Ji Zhu, Gongjun Xu, Shihao Wu

High-Dimensional Statistics
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JASA Aug 27, 2026
Anytime-Valid Inference in Linear Models with Applications to Regression-Adjusted Causal Inference

Michael Lindon, Dae Woong Ham, Martin Tingley et al.

Causal Inference Machine Learning
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JASA Aug 27, 2026
Complete Sample Likelihood Estimation and Inference for Single and Multi-Stage Sample Surveys

Robert G. Clark, Francis K. C. Hui

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JASA Aug 27, 2026
Semi-pessimistic Reinforcement Learning

Xin Zhou, Jin Zhu, Chengchun Shi et al.

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JASA Aug 27, 2026
High-dimensional inference for extreme value indices

Liujun Chen, Chen Zhou

High-Dimensional Statistics
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JASA Aug 27, 2026
Robust Regression under Adversarial Contamination: Theory and Algorithms for the Welsch Estimator

Mohamed Ndaoud, Ilyes Hammouda, Abd-Krim Seghouane

Machine Learning Computational Statistics
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JASA Aug 27, 2026
Dose-Exposure-Response Modeling: Methods and Practical Implementation, 2nd ed

Sidi Wang

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JASA Aug 27, 2026
Enhanced Marginal Sensitivity Model and Bounds

Yi Zhang, Wenfu Xu, Zhiqiang Tan

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AOS Aug 26, 2026
Asymptotic equivalence of non-parametric regression with spherical regressors and Gaussian white noise

Martin Kroll

Machine Learning
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JASA Aug 24, 2026
Channeling Multimodality Through a Unimodalizing Transport: Warp-U Sampler and Stochastic Bridge Sampling Estimator

Shiyuan He, Fei Ding, David E. Jones et al.

High-Dimensional Statistics
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JASA Aug 24, 2026
Bayesian Transfer Learning for Enhanced Estimation and Inference

Xiang Li, Oscar Hernan Madrid Padilla, Daoyuan Lai et al.

Bayesian Statistics
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