Journal Statistics

142
Journal of the Royal Statistical Society Series B
papers tracked
344
Journal of the American Statistical Association
papers tracked
150
Annals of Statistics
papers tracked
105
Biometrika
papers tracked
320
Journal of Machine Learning Research
papers tracked

Recent Papers

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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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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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
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
Change Point Analysis: Theory and Application

Abhishek Kaul

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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
Maximum binomial likelihood method for multivariate mixture data

Pengfei Li, Tao Yu, Jing Qin

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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
Translating predictive distributions into informative priors

Andrew A. Manderson, Robert J. B. Goudie

Bayesian Statistics
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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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AOS Apr 21, 2026
Pseudo-Maximum Likelihood Theory for High-Dimensional Rank One Inference

Aukosh Jagannath, Curtis Grant, Justin Ko

High-Dimensional Statistics
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JASA Apr 20, 2026
Efficient Nonparametric Inference for Mediation Analysis with Nonignorable Missing Confounders

Wei Li, Jiawei Shan, Chunrong Ai

Nonparametric Statistics
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JASA Apr 20, 2026
Leveraging External Data in Rare Disease Trials Through Individualized Discounting Within the Power Prior: A Case Study in Hereditary Angioedema

Claire R. Zhu, Ethan M. Alt, Joseph G. Ibrahim

Bayesian Statistics
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JRSSB Apr 17, 2026
Authors’ reply to the Discussion of ‘Augmented balancing weights as linear regression' by Bruns-Smith et al

David Bruns-Smith, Oliver Dukes, Avi Feller et al.

Machine Learning
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AOS Apr 16, 2026
No-Regret Generative Modeling via Parabolic Monge-Ampère PDE

Tengyuan Liang, Nabarun Deb

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AOS Apr 16, 2026
Vecchia Gaussian Processes: On Probabilistic and Statistical Properties

Botond Tibor Szabo, Yichen Zhu

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Biometrika Apr 16, 2026
Functional Principal Component Analysis for Sparse Censored Data

Caitrin Murphy, Eric Laber, Rhonda Merwin et al.

High-Dimensional Statistics
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