Model Selection for Exponential Power Mixture Regression Models

Finite mixture of linear regression (FMLR) models are among the most exemplary statistical tools to deal with various heterogeneous data. In this paper, we introduce a new procedure to simultaneously determine the number of components and perform variable selection for the different regressions for...

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主要な著者:	Yunlu Jiang, Jiangchuan Liu, Hang Zou, Xiaowen Huang
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2024-05-01
シリーズ:	Entropy
主題:	finite mixture of linear regression models variable selection exponential power distribution modified EM algorithm
オンライン･アクセス:	https://www.mdpi.com/1099-4300/26/5/422
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