A Bayesian approach to model-based clustering for binary panel probit models
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Publication:452570
DOI10.1016/j.csda.2010.04.016zbMath1247.62152OpenAlexW1979570775MaRDI QIDQ452570
Jens Boysen-Hogrefe, Christian Aßmann
Publication date: 15 September 2012
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.csda.2010.04.016
Classification and discrimination; cluster analysis (statistical aspects) (62H30) Bayesian inference (62F15) Numerical analysis or methods applied to Markov chains (65C40)
Related Items
Functional clustering methods for binary longitudinal data with temporal heterogeneity ⋮ A Bayesian approach towards missing covariate data in multilevel latent regression models ⋮ Panel data analysis: a survey on model-based clustering of time series ⋮ Keeping the balance -- bridge sampling for marginal likelihood estimation in finite mixture, mixture of experts and Markov mixture models
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