Journal Statistics

207
Journal of the Royal Statistical Society Series B
papers tracked
499
Journal of the American Statistical Association
papers tracked
189
Annals of Statistics
papers tracked
136
Biometrika
papers tracked
478
Journal of Machine Learning Research
papers tracked

Recent Papers

JASA Oct 07, 2026
Semi-Supervised Generative Learning via Latent Space Distribution Matching

Kwong Yu Chong, Long Feng

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JASA Oct 07, 2026
Statistical methods for partitioning ribbon and globally-distributed flux using data from the Interstellar Boundary Explorer

Lauren J. Beesley, Dave Osthus, Kelly R. Moran et al.

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JASA Oct 07, 2026
Power Enhancement in High-Dimensional Heterogeneous Mediation Analysis

Xiufan Yu, Ken Kelley

High-Dimensional Statistics
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JRSSB Oct 07, 2026
Augmented transfer regression learning for completely missing covariates

Tianying Wang, Huali Zhao

Machine Learning
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JASA Oct 06, 2026
A Transfer Learning Framework for Multilayer Networks via Model Averaging

Xinyu Zhang, Yongqin Qiu

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JASA Oct 06, 2026
Statistical Inference with Mixed-Effect Model for Covariate-Adaptive Randomized Experiments

Yang Liu, Lucy Xia, Feifang Hu

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JASA Oct 05, 2026
Mixture of Directed Graphical Models for Discrete Spatial Random Fields

J. Brandon Carter, Catherine A. Calder

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JRSSB Oct 05, 2026
Modelling positive and unlabelled data with a generalized additive density ratio model

Peijun Sang, Donglin Zeng, Qinglong Tian et al.

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AOS Oct 01, 2026
A Mean Field Approach to Empirical Bayes Estimation in High-dimensional Linear Regression

Subhabrata Sen, Sumit Mukherjee, Bodhi Sen

Machine Learning High-Dimensional Statistics Bayesian Statistics
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AOS Oct 01, 2026
Multivariate MM-estimators with auxiliary Scale for Linear Models with Structured Covariance Matrices

Hendrik Paul Lopuhaa

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AOS Oct 01, 2026
Controlling the false discovery rate under a nonparametric graphical dependence model

William Fithian, Drew Thanh Nguyen

Nonparametric Statistics
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AOS Oct 01, 2026
Batch Predictive Inference

Edgar Dobriban, Eric Tchetgen Tchetgen, Yonghoon Lee

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AOS Oct 01, 2026
A Random Graph-based Autoregressive Model for Networked Time Series

Chenlei Leng, Weichi Wu

Time Series
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JRSSB Oct 01, 2026
Meta Fusion: a unified framework for multimodal fusion with adaptive mutual learning

Annie Qu, Babak Shahbaba, Ziyi Liang

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JASA Sep 30, 2026
Optimal estimators and tests for reciprocal effects

Ting Yan, Jiashun Jin, Qunqiang Feng et al.

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Biometrika Sep 30, 2026
Optimal and computationally tractable lower bounds for logistic log-likelihoods

Daniele Durante, Giacomo Zanella, Tommaso Rigon et al.

Computational Statistics
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JRSSB Sep 29, 2026
An optimal transport-based generative model for Bayesian posterior sampling

Yun Yang, Yuexi Wang, Ke Li et al.

Bayesian Statistics
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Biometrika Sep 28, 2026
Confidence Intervals for Linear Models with Arbitrary Noise Contamination

Dong Xie, Chao Gao, John Lafferty

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JASA Sep 28, 2026
Structure-Adaptive E-Value Filter for Detecting Regional Signals in Brain Imaging

Jingcheng He, Hangjin Jiang, Wenguang Sun

Machine Learning
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JASA Sep 28, 2026
Deep Transformation Model

Tong Wang, Shunqin Zhang, Sanguo Zhang et al.

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