Journal Statistics

198
Journal of the Royal Statistical Society Series B
papers tracked
453
Journal of the American Statistical Association
papers tracked
174
Annals of Statistics
papers tracked
126
Biometrika
papers tracked
409
Journal of Machine Learning Research
papers tracked

Recent Papers

AOS Aug 21, 2026
Functional linear regression from sparse to dense designs: a pooling-ridge method and minimax optimality

Fang Yao, Shunxing Yan

Machine Learning High-Dimensional Statistics
View Paper →
JASA Aug 21, 2026
Transfer Learning of CATE with Kernel Ridge Regression

Seok-Jin Kim, Hongjie Liu, Molei Liu et al.

Nonparametric Statistics Machine Learning High-Dimensional Statistics
View Paper →
JASA Aug 21, 2026
Beyond Overall Diagnosis: A Longitudinal Multi-Domain Latent Structure Model for Domain-Specific Parkinson’s Disease Progression

Zijian Ye, Yuanjia Wang, Yu Gu et al.

Machine Learning
View Paper →
JASA Aug 21, 2026
Selecting the number of components in PCA via random signflips

David Hong, Yue Sheng, Edgar Dobriban

View Paper →
JASA Aug 21, 2026
Penalized Network Cross-Validation for Nested Models by Edge-Sampling

Bokai Yang, Yuanxing Chen, Yuhong Yang

High-Dimensional Statistics Statistical Learning
View Paper →
JASA Aug 21, 2026
Longitudinal weighted and trimmed treatment effects with flip interventions

Alec McClean, Alexander W. Levis, Nicholas Williams et al.

Causal Inference
View Paper →
JASA Aug 21, 2026
Fréchet Cumulative Covariance Net for Deep Nonlinear Sufficient Dimension Reduction with Random Objects

Hang Yuan, Christina Dan Wang, Zhou Yu

View Paper →
JASA Aug 21, 2026
A Simple and Adaptive Confidence Interval when Nuisance Parameters Satisfy an Inequality

Gregory Fletcher Cox

View Paper →
JASA Aug 21, 2026
Incremental effects for continuous exposures

Kyle Schindl, Shuying Shen, Edward H. Kennedy

View Paper →
JASA Aug 21, 2026
Locally Private Nonparametric Contextual Multi-armed Bandits with Transfer Learning

Yuheng Ma, Feiyu Jiang, Zifeng Zhao et al.

Nonparametric Statistics
View Paper →
JASA Aug 21, 2026
High-dimensional Spectrum Matching: Covariance Inference Based on Universality

Guoyu Zhang, Dandan Jiang, Fang Yao

High-Dimensional Statistics
View Paper →
Biometrika Aug 20, 2026
Tight differencing in spectral density estimation with centrosymmetric kernels

Y Wang, K W Chan

Nonparametric Statistics
View Paper →
JASA Aug 17, 2026
Nonparametric predictive inference for discrete data via Metropolis-adjusted Dirichlet sequences

David B. Dunson, Davide Agnoletto, Tommaso Rigon

Nonparametric Statistics
View Paper →
AOS Aug 15, 2026
Revisiting mean estimation over lp balls: Is the MLE optimal?

Liviu Aolaritei, Michael Jordan, Reese Pathak et al.

View Paper →
JRSSB Aug 13, 2026
Proposer of the vote of thanks to Farewell et al. and contribution to the Discussion of ‘Regression by composition’

Stijn Vansteelandt

Machine Learning
View Paper →
JRSSB Aug 13, 2026
Bounds for the regression parameters in dependently censored survival models

Ilias Willems, Jad Beyhum, Ingrid Van Keilegom

Machine Learning Survival Analysis
View Paper →
JRSSB Aug 11, 2026
Quantiles on global non-positive curvature spaces

Hee-Seok Oh, Ha-Young Shin

View Paper →
AOS Aug 10, 2026
Generalized Robust Adaptive-Bandwidth Multi-View Manifold Learning in High Dimensions with Noise

Xiucai Ding, Chao Shen, Hau-Tieng Wu

Nonparametric Statistics
View Paper →
AOS Aug 10, 2026
Principled Analysis of Crossover Designs: Causal Effects, Efficient Estimation, and Robust Inference

Peng Ding, Zhichao Jiang

Causal Inference
View Paper →
AOS Aug 10, 2026
Minmax Trend Filtering: Generalizations of Total Variation Denoising via a Local Minmax/Maxmin Formula

Sabyasachi Chatterjee

View Paper →
View All Papers →