Journal Statistics

207
Journal of the Royal Statistical Society Series B
papers tracked
503
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 09, 2026
Post-clustering Inference under Dependence

Javier González-Delgado, Mathis Deronzier, Juan Cortés et al.

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JASA Oct 09, 2026
MOSAiC: Multi-site One-Shot Aggregation of Compressed Risk Functions

Yong Chen, Yudong Wang, Yiwen Lu et al.

Machine Learning
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JASA Oct 09, 2026
Interconnections in Clinical Treatment Measures at the Pan-Disease Level: A Deep Neural Network Analysis of SEER-Medicare

Shuangge Ma, Tong Wang, Jiping Wang

Machine Learning
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JASA Oct 09, 2026
How many labelers do you have? A closer look at gold-standard labels

Chen Cheng, Hilal Asi, John Duchi

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JASA Oct 09, 2026
Partial Gini Covariance-based Robust Inference for High-dimensional Linear Models with Heavy-tailed Errors

Lan Wang, Songshan Yang, Yilin Zhang et al.

Machine Learning High-Dimensional Statistics
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JASA Oct 08, 2026
Re-evaluating the Impact of Hormone Replacement Therapy on Heart Disease Using Match-Adaptive Randomization Inference

Ruoqi Yu, Samuel D. Pimentel

Experimental Design
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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
Power Enhancement in High-Dimensional Heterogeneous Mediation Analysis

Xiufan Yu, Ken Kelley

High-Dimensional Statistics
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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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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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