3 papers
stat.ME2026
Distributed Selective Inference for Quantile Regression
Xiaohui Yuan, Jiahan Teng, Yan Zhou
We propose a distributed selective inference framework tailored for high-dimensional quantile regression. To enable valid post-selection inference in this context, we address the c…
stat.ME2026
Distributed Convolutional Rank Regression over Decentralized Networks
Chunjing Li, Tiange Zhao, Xiaohui Yuan
This paper studies convolution rank regression (CRR) over decentralized distributed learning networks. We propose a novel decentralized CRR framework, in which estimators are obtai…
stat.CO2025
Optional subsampling for generalized estimating equations in growing-dimensional longitudinal Data
Chunjing Li, Jiahui Zhang, Xiaohui Yuan
As a powerful tool for longitudinal data analysis, the generalized estimating equations have been widely studied in the academic community. However, in large-scale settings, this a…