Bayesian Inference for Finite Mixture Regression Model Based on Non-Iterative Algorithm
Finite mixtures normal regression (FMNR) models are widely used to investigate the relationship between a response variable and a set of explanatory variables from several unknown latent homogeneous groups. However, the classical EM algorithm and Gibbs sampling to deal with this model have several w...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-03-01
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Series: | Mathematics |
Subjects: | |
Online Access: | https://www.mdpi.com/2227-7390/9/6/590 |