Journal Statistics

156
Journal of the Royal Statistical Society Series B
papers tracked
392
Journal of the American Statistical Association
papers tracked
160
Annals of Statistics
papers tracked
109
Biometrika
papers tracked
320
Journal of Machine Learning Research
papers tracked

Recent Papers

JASA Jun 04, 2026
An AI-powered Bayesian generative modeling approach for causal inference in observational studies

Qiao Liu, Wing Hung Wong

Causal Inference Machine Learning Bayesian Statistics
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JASA Jun 04, 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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JASA Jun 04, 2026
Bayesian Phase 1-2 Designs with Adaptive Rules for Staggering Patient Entry

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

Bayesian Statistics
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JASA Jun 04, 2026
Enhancing Investment Decisions with Sentiment Analysis: A Probabilistic Ranking Framework*

Zheng Tracy Ke, Bryan Kelly, Dacheng Xiu

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JASA Jun 04, 2026
A Burden Shared is a Burden Halved: A Fairness-Adjusted Approach to Classification

Bradley Rava, Wenguang Sun, Gareth M. James et al.

Machine Learning
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JASA Jun 04, 2026
Localized Sparse Principal Component Analysis of Multivariate Time Series in the Frequency Domain

Amita Manatunga, Jamshid Namdari, Fabio Ferrarelli et al.

Machine Learning High-Dimensional Statistics Time Series
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JASA Jun 04, 2026
Distribution-Free Signs and Ranks via Optimal Transport under Multivariate Symmetry and Application to One-Sample Location Testing

Bodhisattva Sen, Zhen Huang

Hypothesis Testing
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JASA Jun 04, 2026
Covariance test for discretely observed functional data: when and how it works?

Fang Yao, Yang Zhou, Jin Yang

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JASA Jun 04, 2026
Stationarity of Manifold Time Series

Dehan Kong, Junhao Zhu, Zhaolei Zhang et al.

Time Series
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JASA Jun 04, 2026
Theory for Identification and Inference with Synthetic Controls: A Proximal Causal Inference Framework

Myeonghun Yu, Xu Shi, Arun Kumar Kuchibhotla et al.

Causal Inference
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JASA Jun 04, 2026
Testing Independence and Conditional Independence in High Dimensions via Coordinatewise Gaussianization

Qiwei Yao, Jinyuan Chang, Yue Du et al.

Hypothesis Testing
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JASA Jun 04, 2026
Testing for integer integration in functional time series

Won-Ki Seo, Han Lin Shang

Time Series Hypothesis Testing
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JASA Jun 04, 2026
Adaptive Debiased Lasso in High-dimensional Generalized Linear Models with Streaming Data

Ruijian Han, Jian Huang, Yuanyuan Lin et al.

High-Dimensional Statistics
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JASA Jun 04, 2026
Tests for principal eigenvalues and eigenvectors

Jianqing Fan, Yingying Li, Ningning Xia et al.

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JASA Jun 04, 2026
Inside-out cross-covariance for spatial multivariate data

Michele Peruzzi

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JASA Jun 04, 2026
Adapting to Noise Tails in Private Linear Regression

Wen-Xin Zhou, Jinyuan Chang, Lin Yang et al.

Machine Learning
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JASA Jun 04, 2026
Residual Importance Weighted Transfer Learning for High-dimensional Linear Regression

Chenlei Leng, Junlong Zhao, Shengbin Zheng

Machine Learning High-Dimensional Statistics
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JASA Jun 04, 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
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JASA Jun 04, 2026
Functional-SVD for Heterogeneous Trajectories: Case Studies in Health*

Anru R. Zhang, Jianbin Tan, Pixu Shi

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JRSSB Jun 04, 2026
Causal inference under uniformly bounded neighbourhood interference

Xin Lu, Hongzi Li, Hanzhong Liu

Causal Inference
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