Continuity approximation in hybrid Bayesian networks structure learning

Bayesian networks have been used to represent the joint distribution of multiple random variables in a flexible yet interpretable manner. One major challenge in learning the structure of a Bayesian network is how to model networks that include a mixture of continuous and discrete random variables, k...

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Veröffentlicht in:	Statistics and computing 2024-12, Vol.34 (6), Article 213
Hauptverfasser:	Zhu, Wanchuang, Nguyen, Ngoc Lan Chi
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial Intelligence Bayesian analysis Computer Science Continuity (mathematics) Mathematical models Mixtures Networks Original Paper Probability and Statistics in Computer Science Random variables Statistical Theory and Methods Statistics and Computing/Statistics Programs
Online-Zugang:	Volltext
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