Parameter estimation in latent profile models.

DOI10.1016/S0167-9473(98)00019-XzbMath1042.65511OpenAlexW2017632950MaRDI QIDQ1128889

A. P. Dunmur, Michael D. Titterington

Publication date: 13 August 1998

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0167-9473(98)00019-x

zbMATH Keywords

EM algorithmIncomplete dataLatent profile analysisMean-field approximations

Mathematics Subject Classification ID

Cites Work

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• On the convergence properties of the EM algorithm
• Neural networks: A review from a statistical perspective. With comments and a rejoinder by the authors
• The influence of initial conditions on maximum likelihood estimation of the parameters of a binary hidden Markov model
• Parameter estimation for hidden Markov chains
• Three multivariate models: Factor analysis, latent structure analysis, and latent profile and analysis
• The foundations of factor analysis
• The mean field theory in EM procedures for Markov random fields

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