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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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Autori principali: Yunlu Jiang, Jiangchuan Liu, Hang Zou, Xiaowen Huang
Natura: Artigo
Lingua:Inglês
Pubblicazione: MDPI AG 2024-05-01
Serie:Entropy
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Accesso online:https://www.mdpi.com/1099-4300/26/5/422
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