Variable selection in finite mixture of semi-parametric regression models

DOI10.1080/03610926.2013.835413zbMath1341.62241OpenAlexW2289580611MaRDI QIDQ2807717

Farzad Eskandari, Ehsan Ormoz

Publication date: 25 May 2016

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2013.835413

zbMATH Keywords

EM algorithmsemiparametric regressionfinite mixture modelvariable selectionLASSOpenalized likelihoodSCAD

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Generalized linear models (logistic models) (62J12)

Related Items (5)

Robust variable selection in finite mixture of regression models using the t distribution ⋮ Estimation and variable selection for mixture of joint mean and variance models ⋮ Asymptotic efficient semiparametric empirical bayes estimation of multinomial responses ⋮ A robust high dimensional estimation of a finite mixture of the generalized linear model ⋮ Variable selection for skew-normal mixture of joint location and scale models

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