most citedScalable estimation and inference for censored quantile regression process

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

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…