Journal Statistics

208
Journal of the Royal Statistical Society Series B
papers tracked
506
Journal of the American Statistical Association
papers tracked
189
Annals of Statistics
papers tracked
138
Biometrika
papers tracked
478
Journal of Machine Learning Research
papers tracked

Recent Papers

Biometrika Oct 16, 2026
Saddlepoint approximations for plug-in resampling

Z Huang, Z Niu, J Ray Choudhury et al.

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JRSSB Oct 16, 2026
Unified conformalized multiple testing with full data efficiency

Changliang Zou, Haojie Ren, Yuyang Huo et al.

Hypothesis Testing
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JASA Oct 16, 2026
Multiscale Spatio-Temporal Data Monitoring Using Forward Elimination and Scale Information Criterion

Kai Yang, Peihua Qiu

Time Series
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JASA Oct 15, 2026
Popularity Regression-Based Latent Space Model for Large-Scale Sparse Network Analysis

Rui Pan, Hansheng Wang, Zhan Gao et al.

Machine Learning High-Dimensional Statistics
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Biometrika Oct 15, 2026
Rao-Blackwellized e-variables

D De Roos, B Chugg, P Grünwald et al.

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JASA Oct 14, 2026
Online covariance estimation for stochastic gradient descent under Markovian sampling

Krishnakumar Balasubramanian, Abhishek Roy

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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 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
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
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
Post-clustering Inference under Dependence

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

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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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JRSSB Oct 07, 2026
Augmented transfer regression learning for completely missing covariates

Tianying Wang, Huali Zhao

Machine Learning
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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
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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Biometrika Oct 07, 2026
Post-reduction inference for confidence sets of models

H S Battey, D G Rasines, Y Tang

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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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Biometrika Oct 07, 2026
Benign Overfitting Beyond Prediction: The Ordinary Least Squares Interpolator

Peng Ding, Dennis Shen, Dogyoon Song et al.

Statistical Learning
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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 06, 2026
A Transfer Learning Framework for Multilayer Networks via Model Averaging

Xinyu Zhang, Yongqin Qiu

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