We describe a flexible regression model for multivariate mixed responses, where association between outcomes is modeled through discrete, outcome-specific, latent effects, accounting for heterogeneity and dependence. A relevant question arises when independence between outcome-specific random effects should be tested. By relaxing the uni-dimensionality of the standard finite mixture model, we define a multidimensional latent class approach, with possibly different numbers of locations in each margin, and a full association structure.

A flexible approach to finite mixture regression models for multivariate mixed responses / Alfo', Marco; Irene, Rocchetti. - In: STATISTICS & PROBABILITY LETTERS. - ISSN 0167-7152. - STAMPA. - 83:(2013), pp. 1754-1758. [10.1016/j.spl.2013.04.004]

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

ALFO', Marco;
2013

Abstract

We describe a flexible regression model for multivariate mixed responses, where association between outcomes is modeled through discrete, outcome-specific, latent effects, accounting for heterogeneity and dependence. A relevant question arises when independence between outcome-specific random effects should be tested. By relaxing the uni-dimensionality of the standard finite mixture model, we define a multidimensional latent class approach, with possibly different numbers of locations in each margin, and a full association structure.
2013
concomitant latent variables; finite mixtures; mixed data
01 Pubblicazione su rivista::01a Articolo in rivista
A flexible approach to finite mixture regression models for multivariate mixed responses / Alfo', Marco; Irene, Rocchetti. - In: STATISTICS & PROBABILITY LETTERS. - ISSN 0167-7152. - STAMPA. - 83:(2013), pp. 1754-1758. [10.1016/j.spl.2013.04.004]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/513477
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