Journal Statistics

53
Journal of the Royal Statistical Society Series B
papers tracked
187
Journal of the American Statistical Association
papers tracked
88
Annals of Statistics
papers tracked
30
Biometrika
papers tracked
195
Journal of Machine Learning Research
papers tracked

Recent Papers

AOS Oct 14, 2025
Scalable inference for Nonparametric Stochastic Approximation in Reproducing Kernel Hilbert Spaces

Meimei Liu, Zuofeng Shang, Yun Yang

Nonparametric Statistics
View Paper →
JMLR Oct 07, 2025
"What is Different Between These Datasets?" A Framework for Explaining Data Distribution Shifts

Varun Babbar*, Zhicheng Guo*, Cynthia Rudin

Machine Learning
View Paper →
AOS Oct 01, 2025
Nonparametric Estimation of a Covariate-Adjusted Counterfactual Treatment Regimen Response Curve

Ashkan Ertefaie, Luke Duttweiler, Brent A. Johnson et al.

Nonparametric Statistics
View Paper →
AOS Oct 01, 2025
Optimal Eigenvalue Shrinkage in the Semicircle Limit

Michael Jacob Feldman, David Leigh Donoho

View Paper →
AOS Sep 25, 2025
Estimation of Grouped Time-Varying Network Vector Autoregressive Models

Degui Li, Bin Peng, Songqiao Tang et al.

Time Series
View Paper →
AOS Sep 25, 2025
Trace Test for High-Dimensional Cointegration

Alexei Onatski, Chen Wang

High-Dimensional Statistics
View Paper →
AOS Sep 25, 2025
Distributionally Robust Learning for Multi-source Unsupervised Domain Adaptation

Peter Bühlmann, Zhenyu Wang, Zijian Guo

Machine Learning
View Paper →
JASA Sep 25, 2025
Nonparametric Density Estimation of a Long-Term Trend from Repeated Semicontinuous Data

Félix Camirand Lemyre, Raymond J. Carroll, Aurore Delaigle

Nonparametric Statistics
View Paper →
JASA Sep 24, 2025
On the Algorithmic Bias of Aligning Large Language Models with RLHF: Preference Collapse and Matching Regularization

Jiancong Xiao, Ziniu Li, Xingyu Xie et al.

High-Dimensional Statistics Computational Statistics
View Paper →
JASA Sep 24, 2025
Transfer learning under large-scale low-rank regression models

Seyoung Park, Eun Ryung Lee, Hongyu Zhao et al.

Machine Learning
View Paper →
JASA Sep 24, 2025
Differentially Private Sliced Inverse Regression: Minimax Optimality and Algorithm

Zhanrui Cai, Xintao Xia, Linjun Zhang

Machine Learning Computational Statistics
View Paper →
JASA Sep 24, 2025
Construction of Asymmetric Nested Orthogonal Arrays

Shanqi Pang, Xiao Lin, Mingyao Ai et al.

View Paper →
JASA Sep 24, 2025
Dynamic Decision Making With Individualized Variable Selection

Bryan Cai, Ying Cui, Haoda Fu et al.

View Paper →
JASA Sep 24, 2025
Developing A Practical Measure: An Asymmetric Mean Squared Prediction Error for Small Area Estimation

Haiqiang Ma, Thuan Nguyen, Jiming Jiang

Statistical Learning
View Paper →