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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.CO2026
Optimal Poisson subsampling for quantile regression with large-scale longitudinal data
Chunjing Li, Jiahui Zhang, Xiaohui Yuan
To address the computational challenges arising from large-scale longitudinal data, an optimal Poisson subsampling algorithm is proposed for quantile regression. The proposed metho…