Cluster-based least absolute deviation regression for dimension reduction

DOI10.1080/15598608.2015.1095136zbMath1426.62198OpenAlexW2262760066MaRDI QIDQ2323157

Yuexiao Dong, Chaozheng Yang

Publication date: 30 August 2019

Published in: Journal of Statistical Theory and Practice (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/15598608.2015.1095136

zbMATH Keywords

\(k\)-means clusteringsingle-index modellinear conditional mean assumptionlocal linear median regression

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Linear regression; mixed models (62J05)

Related Items (2)

A brief review of linear sufficient dimension reduction through optimization ⋮ A new reproducing kernel‐based nonlinear dimension reduction method for survival data

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