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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.ME2024
Optimal subsampling for functional composite quantile regression in massive data
Jingxiang Pan, Xiaohui Yuan
As computer resources become increasingly limited, traditional statistical methods face challenges in analyzing massive data, especially in functional data analysis. To address thi…