Journal Statistics

198
Journal of the Royal Statistical Society Series B
papers tracked
468
Journal of the American Statistical Association
papers tracked
179
Annals of Statistics
papers tracked
126
Biometrika
papers tracked
409
Journal of Machine Learning Research
papers tracked

Recent Papers

AOS Sep 02, 2026
Low-Dose Tomography of Random Fields and the Problem of Continuous Heterogeneity

Victor Michael Panaretos, Alessia Caponera, Ho Yun

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AOS Sep 02, 2026
Complexity of Markov Chain Monte Carlo for Generalized Linear Models

Giacomo Zanella, Martin Chak

Machine Learning Computational Statistics Bayesian Statistics
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AOS Sep 02, 2026
The Laplace approximation accuracy in high dimensions: a refined analysis and new skew adjustment

Anya Katsevich

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JASA Sep 01, 2026
Representation Retrieval Learning for Heterogeneous Data Integration

Annie Qu, Qi Xu

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JASA Sep 01, 2026
Empirical Bayes in Bayesian learning: understanding a common practice

Judith Rousseau, Stefano Rizzelli, Sonia Petrone

Bayesian Statistics
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JASA Sep 01, 2026
Prediction When Factors are Weak

Dacheng Xiu, Stefano Giglio, Dake Zhang

Statistical Learning
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JASA Aug 31, 2026
Adjusting auxiliary variables under approximate neighborhood interference

Xin Lu, Yuhao Wang, Zhiheng Zhang

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JASA Aug 31, 2026
Beta-Trees: Multivariate Histograms With Confidence Statements

Guenther Walther, Qian Zhao

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JASA Aug 31, 2026
Double Generalized Linear Models: Likelihood and Bayesian Methods

Yang Ni

Bayesian Statistics
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JASA Aug 31, 2026
Collective Outlier Detection and Enumeration with Conformalized Closed Testing

Matteo Sesia, Chiara G. Magnani, Aldo Solari

Hypothesis Testing
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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
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
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
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
Principal-Agent Hypothesis Testing

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

Hypothesis Testing
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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
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
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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