A constraint-based algorithm for the structural learning of continuous-time Bayesian networks

DOI10.1016/j.ijar.2021.08.005OpenAlexW3194671762MaRDI QIDQ2060767

Fabio Stella, Alessandro Bregoli, Marco Scutari

Publication date: 13 December 2021

Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2007.03248

zbMATH Keywords

Bayesian networksstructure learningcontinuous-timeconstraint-based algorithm

Mathematics Subject Classification ID

Reasoning under uncertainty in the context of artificial intelligence (68T37)

Related Items (1)

Constraint-based and hybrid structure learning of multidimensional continuous-time Bayesian network classifiers

Cites Work

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• Being Bayesian about network structure. A Bayesian approach to structure discovery in Bayesian networks
• Learning Bayesian networks: The combination of knowledge and statistical data
• Who learns better Bayesian network structures: accuracy and speed of structure learning algorithms
• Learning Continuous Time Bayesian Networks in Non-stationary Domains
• Graphical Models for Marked Point Processes Based on Local Independence
• Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis

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