Journal Statistics

145
Journal of the Royal Statistical Society Series B
papers tracked
350
Journal of the American Statistical Association
papers tracked
150
Annals of Statistics
papers tracked
106
Biometrika
papers tracked
320
Journal of Machine Learning Research
papers tracked

Recent Papers

Biometrika Apr 28, 2026
Nonparametric Inference for Balance in Signed Networks

Weijing Tang, Xuyang Chen, Yinjie Wang

Nonparametric Statistics
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JASA Apr 28, 2026
Extracting Interpretable Models from Tree Ensembles: Computational and Statistical Perspectives

Rahul Mazumder, Brian Liu, Peter Radchenko

Computational Statistics
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JASA Apr 28, 2026
An Online Meta-Level Adaptive Design Framework with Targeted Learning Inference: Applications to Evaluating and Utilizing Surrogate Outcomes in Adaptive Designs

Mark van der Laan, Aaron Hudson, Wenxin Zhang et al.

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JASA Apr 28, 2026
Structured Conformal Inference for Matrix Completion with Applications to Group Recommender Systems

Matteo Sesia, Xin Tong, Ziyi Liang et al.

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JASA Apr 28, 2026
Domain-Specific Nonparametric Regression for Domain Generalization

Jian Huang, Yong Zhou, Yuanyuan Lin et al.

Nonparametric Statistics Machine Learning
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JASA Apr 28, 2026
Mixture Modeling for Temporal Point Processes with Memory

Bruno Sansó, Xiaotian Zheng, Athanasios Kottas

Time Series
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JASA Apr 28, 2026
GS-BART: Bayesian Additive Regression Trees with Graph-split Decision Rules

Shuren He, Huiyan Sang, Quan Zhou

Machine Learning Bayesian Statistics
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JRSSB Apr 27, 2026
Causal K-means clustering

Edward H Kennedy, Kwangho Kim, Jisu Kim

Causal Inference
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JRSSB Apr 27, 2026
Stratum order-of-addition designs

Ze Liu, Min-Qian Liu, Liushan Zhou et al.

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JRSSB Apr 27, 2026
Post-detection inference for sequential changepoint localization

Aaditya Ramdas, Aytijhya Saha

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AOS Apr 25, 2026
Gaussian and non-Gaussian Universality of Data Augmentation

Kevin Han Huang, Peter Orbanz, Morgane Austern

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AOS Apr 25, 2026
Fast Mixing of Data Augmentation Algorithms: Bayesian Probit, Logit, and Lasso Regression

Holden Lee, Kexin Zhang

Machine Learning High-Dimensional Statistics Computational Statistics
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AOS Apr 25, 2026
Estimation beyond Missing (Completely) at Random

Richard J. Samworth, Tengyao Wang, Tianyi Ma et al.

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JASA Apr 22, 2026
Adaptive Partition Factor Analysis

Elena Bortolato, Antonio Canale

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JASA Apr 22, 2026
Nonparametric Prior Learning in Differential Equation Modeling

Fang Yao, Junxiong Jia, Deyu Meng et al.

Nonparametric Statistics Bayesian Statistics
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JASA Apr 22, 2026
A Physics-Informed Spatiotemporal Deep Learning Framework for Turbulent Systems

Luca Menicali, Andrew Grace, David H. Richter et al.

Machine Learning Time Series
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JASA Apr 22, 2026
Bayesian Optimization for Branching and Nested Hyperparameters in Deep Learning

Jiazhao Zhang, Chung-Ching Lin, Ying Hung

Machine Learning Computational Statistics Bayesian Statistics
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JASA Apr 22, 2026
Adaptive Transfer Clustering: A Unified Framework

Kaizheng Wang, Zhongyuan Lyu, Yuqi Gu

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JASA Apr 22, 2026
Change Point Analysis: Theory and Application

Abhishek Kaul

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JRSSB Apr 22, 2026
Gaussianized design optimization for covariate balance in randomized experiments

Tengyuan Liang, Wenxuan Guo, Panos Toulis

Computational Statistics
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