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

DOI10.1016/j.spl.2013.04.004zbMath1277.62171OpenAlexW2063902148MaRDI QIDQ383957

Irene Rocchetti, Marco Alfo'

Publication date: 6 December 2013

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.spl.2013.04.004

zbMATH Keywords

mixed dataconcomitant latent variables

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Linear regression; mixed models (62J05) Linear inference, regression (62J99)

Related Items (1)

Random effect models for multivariate mixed data: A Parafac-based finite mixture approach

Cites Work

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• A General Maximum Likelihood Analysis of Variance Components in Generalized Linear Models
• Simulated maximum likelihood estimation of multivariate mixed‐Poisson regression models, with application
• Nonparametric Bayes Modeling of Multivariate Categorical Data

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