A Selective Overview of Quantile Regression for Large-Scale Data

A Selective Overview of Quantile Regression for Large-Scale Data

Large-scale data, characterized by heterogeneity due to heteroskedastic variance or inhomogeneous covariate effects, arises in diverse fields of scientific research and technological development. Quantile regression (QR) is a valuable tool for detecting heteroskedasticity, and numerous QR statistica...

Full description

Saved in:
Bibliographic Details
Main Authors: Shanshan Wang, Wei Cao, Xiaoxue Hu, Hanyu Zhong, Weixi Sun
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Mathematics
Subjects:
large-scale data
quantile regression
distributed computing
subsampling methods
renewable estimation
Online Access:https://www.mdpi.com/2227-7390/13/5/837
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items