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

Marco Alfò and Irene Rocchetti

Statistics & Probability Letters, 2013, vol. 83, issue 7, 1754-1758

Abstract: 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.

Keywords: Finite mixtures; Mixed data; Concomitant latent variables (search for similar items in EconPapers)
Date: 2013
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DOI: 10.1016/j.spl.2013.04.004

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