A flexible approach to finite mixture regression models for multivariate mixed responses

We describe regression models for multivariate mixed responses, where association between outcomes is modeled through discrete, outcome-specific, latent effects, accounting for heterogeneity and dependence. We relax the standard unidimensionality hypothesis, and adopt a multidimensional latent class approach, with possibly different numbers of locations in each margin, and a full association structure.

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Year of publication:	2013
Authors:	Alfò, Marco ; Rocchetti, Irene
Published in:	Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 83.2013, 7, p. 1754-1758
Publisher:	Elsevier
Subject:	Finite mixtures \| Mixed data \| Concomitant latent variables

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Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10011039815