Variable selection in finite mixture of location and mean regression models using skew-normal distribution

Autor:	Liucang Wu, Danlu Wang, Xin Zeng
Rok vydání:	2021
Předmět:	Statistics and Probability Statistics::Theory Finite mixture Skew normal distribution Feature selection Regression analysis Regression Statistics::Computation Statistics::Machine Learning Modeling and Simulation Expectation–maximization algorithm Statistics Statistics::Methodology Mathematics
Zdroj:	Communications in Statistics - Simulation and Computation. :1-23
ISSN:	1532-4141 0361-0918
Popis:	In this article, a variable selection method for the finite mixture of location regression (FMLR) and the finite mixture of mean regression (FMMR) models with a skew-normal error are discussed. The...
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::2acd943496db577acf458fcb086de35d https://doi.org/10.1080/03610918.2021.1999977 Zobrazit plný text záznamu