Variable selection in finite mixture of regression models using the skew-normal distribution

DOI10.1080/02664763.2019.1709051OpenAlexW2998399825WikidataQ126441999 ScholiaQ126441999MaRDI QIDQ5861390

Junhui Yin, Lin Dai, Liu-Cang Wu

Publication date: 1 March 2022

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2019.1709051

zbMATH Keywords

variable selectionskew-normal distributionLASSOSCADmixture regression modelshard

Mathematics Subject Classification ID

Ridge regression; shrinkage estimators (Lasso) (62J07) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Robustness and adaptive procedures (parametric inference) (62F35) Applications of statistics (62Pxx)

Related Items

Variable selection in finite mixture of median regression models using skew-normal distribution, Estimation for finite mixture of mode regression models using skew-normal distribution, Variable selection in finite mixture of location and mean regression models using skew-normal distribution

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