Journal Statistics

188
Journal of the Royal Statistical Society Series B
papers tracked
431
Journal of the American Statistical Association
papers tracked
167
Annals of Statistics
papers tracked
124
Biometrika
papers tracked
409
Journal of Machine Learning Research
papers tracked

Recent Papers

AOS Jul 22, 2026
Fast Wasserstein rates for estimating probability distributions of probabilistic graphical models

Daniel Bartl, Stephan Eckstein

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AOS Jul 22, 2026
On importance sampling and independent Metropolis-Hastings with an unbounded weight function

Pierre Etienne Jacob

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AOS Jul 21, 2026
Power properties of the two-sample test based on the nearest neighbors graph

Rahul Raphael Kanekar

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Biometrika Jul 21, 2026
Aggregating conformal prediction sets via 𝜢-allocation

Changliang Zou, Zhaojun Wang, Congbin Xu et al.

Statistical Learning
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JASA Jul 21, 2026
Scalable Bayesian Inference for Time Series via Divide and Conquer

David Dunson, Rihui Ou, Lachlan Astfalck et al.

Bayesian Statistics Time Series
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JASA Jul 20, 2026
Clinical Trial Modernization: Technological, Operational, and Regulatory Advances

Marc Buyse

Biostatistics
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JRSSB Jul 15, 2026
Authors’ reply to the Discussion of β€˜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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JASA Jul 15, 2026
A Unified Framework for Rerandomization using Quadratic Forms

Kyle Schindl, Zach Branson

Experimental Design
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JASA Jul 15, 2026
Collaborative Inference for Sparse High-Dimensional Models with Non-Shared Data

Songshan Yang, Yifan Gu, Hanfang Yang et al.

High-Dimensional Statistics
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JASA Jul 15, 2026
Modelling Spatial Density: Data, Methods, and R Applications in Statistics, Econometrics, and Machine Learning.

Ting Fung Ma

Machine Learning Econometrics
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JASA Jul 15, 2026
Double Generalized Linear Models: Likelihood and Bayesian Methods

Yang Ni

Bayesian Statistics
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JASA Jul 15, 2026
Gaussian Invariant Markov Chain Monte Carlo

Michalis K. Titsias, Angelos Alexopoulos, Siran Liu et al.

Machine Learning Computational Statistics Bayesian Statistics
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JASA Jul 15, 2026
Observable versus Latent Factors

Yuan Liao, Viktor Todorov

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AOS Jul 14, 2026
Alignment and matching tests for high-dimensional tensor signals via tensor contraction

Zhenggang Wang, Ruihan Liu, Jianfeng Yao

High-Dimensional Statistics
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JASA Jul 14, 2026
Bayesian Spatiotemporal Wombling

Sudipto Banerjee, Didong Li, Aritra Halder

Bayesian Statistics Time Series
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JASA Jul 14, 2026
Canonical correlation analysis of stochastic trends via functional approximation

M. Franchi, I. Georgiev, P. Paruolo

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JASA Jul 14, 2026
Dirichlet process mixtures of block <i>g</i> priors for model selection and prediction in linear models

Anupreet Porwal, Abel Rodriguez

Bayesian Statistics Statistical Learning
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JASA Jul 14, 2026
Collective Outlier Detection and Enumeration with Conformalized Closed Testing

Matteo Sesia, Chiara G. Magnani, Aldo Solari

Hypothesis Testing
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JASA Jul 13, 2026
Constructing Genetic Risk Scores: Robust Bayesian Approach through Projected Summary Statistics and Flexible Shrinkage

Yuzheng Dun, Nilanjan Chatterjee, Jin Jin et al.

Bayesian Statistics
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JRSSB Jul 10, 2026
Fully decentralized inference for spatial data using low-rank models

Ying Sun, Jianwei Shi, Sameh Abdulah et al.

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