Why BDeu? Regular Bayesian network structure learning with discrete and continuous variables

DOI10.1002/WICS.1554zbMATH Open1544.62141MaRDI QIDQ6602122

Joe Suzuki

Publication date: 11 September 2024

Published in: Wiley Interdisciplinary Reviews. WIREs Computational Statistics (Search for Journal in Brave)

zbMATH Keywords

Bayesian networkstructure learningBDeu

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08)

Cites Work

• Title not available (Why is that?)
• CAM: causal additive models, high-dimensional order search and penalized regression
• Modeling by shortest data description
• Causation, prediction, and search
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• An efficient Bayesian network structure learning strategy
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• Model selection by normalized maximum likelihood
• Theory of probability.
• Learning optimal Bayesian networks: a shortest path perspective
• Learning Likelihood-Equivalence Bayesian Networks Using an Empirical Bayesian Approach
• The performance of universal encoding
• Seamless R and C++ Integration with Rcpp

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