Dimensionally reduced mixtures of regression models

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

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