A Gaussian mixed model for learning discrete Bayesian networks

DOI10.1016/J.SPL.2010.11.009zbMath1205.62022OpenAlexW1981630728WikidataQ34613191 ScholiaQ34613191MaRDI QIDQ625003

Nikolay Balov

Publication date: 11 February 2011

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

Full work available at URL: http://europepmc.org/articles/pmc3046375

zbMATH Keywords

Bayesian networksEM algorithmlearningMLEmixture models

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Point estimation (62F10) Bayesian inference (62F15) Applications of graph theory (05C90)

Cites Work

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• The EM algorithm for graphical association models with missing data
• Graphical models for associations between variables, some of which are qualitative and some quantitative
• Efficient approximations for the marginal likelihood of Bayesian networks with hidden variables
• Learning Bayesian networks: The combination of knowledge and statistical data
• Propagation of Probabilities, Means, and Variances in Mixed Graphical Association Models
• Using Complexity for the Estimation of Bayesian Networks

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