Journal Statistics

131
Journal of the Royal Statistical Society Series B
papers tracked
332
Journal of the American Statistical Association
papers tracked
139
Annals of Statistics
papers tracked
96
Biometrika
papers tracked
320
Journal of Machine Learning Research
papers tracked

Recent Papers

JASA Mar 25, 2026
Structural Identification for Spatio-Temporal Dynamic Models

Cong Cheng, Yuan Ke, Wenyang Zhang et al.

Time Series
View Paper →
JASA Mar 25, 2026
Emerging Knowledge Trend in Statistical Research: A Content-Based Analysis Using Covariate-Assisted Dynamic Topic Model

Feifei Wang, Chenxuan He, Liping Zhu

View Paper →
JASA Mar 25, 2026
Factor Augmented Matrix Regression

Jianqing Fan, Elynn Chen, Xiaonan Zhu

Machine Learning
View Paper →
JASA Mar 25, 2026
Optimal plug-in Gaussian processes for modeling derivatives

Zejian Liu, Meng Li

View Paper →
JASA Mar 25, 2026
Multivariate Analysis for Multiple Network Data via Semi-Symmetric Tensor PCA

Michael Weylandt, George Michailidis

View Paper →
JASA Mar 25, 2026
Possibilistic inferential models: a review

Ryan Martin

View Paper →
JASA Mar 25, 2026
Differentially private sliced inverse regression in the federated paradigm

Shuaida He, Jiarui Zhang, Xin Chen

Machine Learning
View Paper →
JASA Mar 25, 2026
Estimating Multiple Structural Breaks in Large Panels With Unobserved Heterogeneity*

Wenxin Huang, Yucheng Sun, Yiru Wang

View Paper →
JASA Mar 25, 2026
Differentially Private Permutation Tests

Ilmun Kim, Antonin Schrab

View Paper →
JASA Mar 25, 2026
Subtype-Aware Registration of Longitudinal Electronic Health Records

Xin Gai, Shiyi Jiang, Anru R. Zhang

View Paper →
JASA Mar 25, 2026
Nonparametric bootstrap inference for the eigenvalues of geophysical tensors

Kassel L. Hingee, Janice L. Scealy, Andrew T. A. Wood

Nonparametric Statistics
View Paper →
JASA Mar 25, 2026
Belted and Ensembled Neural Network for Linear and Nonlinear Sufficient Dimension Reduction

Bing Li, Yin Tang

Machine Learning
View Paper →
Biometrika Mar 24, 2026
Sequential Gibbs Posteriors with Applications to Principal Component Analysis

David B Dunson, Steven Winter, Omar Melikechi

Bayesian Statistics
View Paper →
AOS Mar 21, 2026
Linear methods for  non-linear inverse problems

Botond Szabo, Aad van der Vaart, Geerten Koers

View Paper →
AOS Mar 21, 2026
Inferring diffusivity from killed diffusion

Richard Nickl, Fanny Seizilles

View Paper →
AOS Mar 21, 2026
Association and Independence Test for Random Objects

Hang Zhou, Hans-Georg Müller

View Paper →
Biometrika Mar 21, 2026
Dynamic clustering for heterophilic stochastic block models with time-varying node memberships

K Z Lin, J Lei

View Paper →
JASA Mar 20, 2026
Covariance test for discretely observed functional data: when and how it works?

Fang Yao, Yang Zhou, Jin Yang

View Paper →
JASA Mar 20, 2026
Bayesian Phase 1-2 Designs with Adaptive Rules for Staggering Patient Entry

Shuqi Wang, Peter F. Thall, Ying Yuan et al.

Bayesian Statistics
View Paper →
JASA Mar 20, 2026
Another Look at High-Dimensional Regression in Principal Components Space and The Blessing of Dimensionality

Hui Zou, Yang Song

Machine Learning High-Dimensional Statistics
View Paper →
View All Papers →