Optimal subsampling for quantile regression in big data

28 January 2020

Papers citing "Optimal subsampling for quantile regression in big data"

4 / 4 papers shown

Title
Optimal subsampling for the Cox proportional hazards model with massive survival data Nan Qiao Wangcheng Li Fengjun Xiao Cunjie Lin Yong Zhou 17 2 0 05 Feb 2023
Fast Inference for Quantile Regression with Tens of Millions of Observations S. Lee Yuan Liao M. Seo Youngki Shin 16 6 0 29 Sep 2022
Sampling with replacement vs Poisson sampling: a comparative study in optimal subsampling Jing Wang Jiahui Zou Haiying Wang 26 12 0 17 May 2022
Optimal pooling and distributed inference for the tail index and extreme quantiles A. Daouia S. Padoan Gilles Stupfler 14 1 0 04 Nov 2021