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

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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JASA Apr 28, 2026
High-dimensional Statistical Inference and Variable Selection Using Sufficient Dimension Association

Shangyuan Ye, Shauna Rakshe, Ye Liang

High-Dimensional Statistics
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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
Spatial scale-aware tail dependence modeling for high-dimensional spatial extremes

Likun Zhang, Muyang Shi, Mark D. Risser et al.

Machine Learning High-Dimensional 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
Mixture Modeling for Temporal Point Processes with Memory

Bruno Sansó, Xiaotian Zheng, Athanasios Kottas

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

Weijing Tang, Xuyang Chen, Yinjie Wang

Nonparametric 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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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
Learning When the Concept Shifts: Confounding, Invariance, and Dimension Reduction

YoonHaeng Hur, Tengyuan Liang, Kulunu Dharmakeerthi

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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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