Learning the Structure of a Bayesian Network: An Application of Information Geometry and the Minimum Description Length Principle

DOI10.1063/1.2149807zbMath1446.62050OpenAlexW1498375942MaRDI QIDQ5118723

Eitel J. M. Lauría

Publication date: 26 August 2020

Published in: AIP Conference Proceedings (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1063/1.2149807

zbMATH Keywords

information geometryBayesian network

Mathematics Subject Classification ID

Bayesian inference (62F15) Applications of Markov renewal processes (reliability, queueing networks, etc.) (60K20) Information geometry (statistical aspects) (62B11)

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