2 citations · 2 across the 3 of their papers we have counts for
3 papers
stat.ME2024
Asymptotically-exact selective inference for quantile regression
Yumeng Wang, Snigdha Panigrahi, Xuming He
In modern data analysis, it is common to select a model before performing statistical inference. Selective inference tools make adjustments for the model selection process in order…
math.ST2022★ 2 cited
Scalable estimation and inference for censored quantile regression process
Xuming He, Xiaoou Pan, Kean Ming Tan +1
Censored quantile regression (CQR) has become a valuable tool to study the heterogeneous association between a possibly censored outcome and a set of covariates, yet computation an…
stat.ME2022
ReBoot: Distributed statistical learning via refitting bootstrap samples
Yumeng Wang, Ziwei Zhu, Xuming He
In this paper, we propose a one-shot distributed learning algorithm via refitting bootstrap samples, which we refer to as ReBoot. ReBoot refits a new model to mini-batches of boots…