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Dimensionally reduced mixtures of regression models

By A. Montanari and C. Viroli

Abstract

In this paper a mixture of regression models for multivariate ob- served variables which contextually involves a dimension reduction step through a linear factor model is proposed. The model estimation is performed via the EM-algorithm, which also allows to test the significance of the regression coefficients. The proposed approach is applied to the study of students satisfaction towards university courses as function of various covariates

Topics: MIXTURE MODELS, LATENT CLASS REGRESSION, MIXTURE OF FACTOR ANALYZERS
Publisher: Tilapia
Year: 2006
OAI identifier: oai:cris.unibo.it:11585/28953
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