Optimal subsampling for quantile regression in big data

28 January 2020

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

10 / 10 papers shown

Title
On the asymptotic properties of a bagging estimator with a massive dataset Yuan Gao Riquan Zhang Hansheng Wang 11 1 0 13 Apr 2023
Optimal subsampling for the Cox proportional hazards model with massive survival data Nan Qiao Wangcheng Li Fengjun Xiao Cunjie Lin Yong Zhou 22 2 0 05 Feb 2023
Optimal subsampling algorithm for composite quantile regression with distributed data Xiaohui Yuan Shiting Zhou Yue Wang 17 2 0 06 Jan 2023
Fast Calibration for Computer Models with Massive Physical Observations Shurui Lv Yan Wang Junrong Yu 14 1 0 23 Nov 2022
Approximating Partial Likelihood Estimators via Optimal Subsampling Haixiang Zhang Lulu Zuo Haiying Wang Liuquan Sun 27 13 0 10 Oct 2022
Fast Inference for Quantile Regression with Tens of Millions of Observations S. Lee Yuan Liao M. Seo Youngki Shin 24 6 0 29 Sep 2022
Sampling with replacement vs Poisson sampling: a comparative study in optimal subsampling Jing Wang Jiahui Zou Haiying Wang 39 16 0 17 May 2022
Optimal subsampling for functional quantile regression Qian Yan Hanyu Li Chengmei Niu 19 7 0 05 May 2022
Optimal pooling and distributed inference for the tail index and extreme quantiles A. Daouia S. Padoan Gilles Stupfler 22 1 0 04 Nov 2021
Nonuniform Negative Sampling and Log Odds Correction with Rare Events Data Haiying Wang Aonan Zhang Chong-Jun Wang 18 19 0 25 Oct 2021