awesome-bayes-nets
github.com/hayesall/awesome-bayes-nets ↗⚗️ A curated list of Books, Research Papers, and Software for Bayesian Networks.
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Curated Resources
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Papers by YearPapers by TopicResourcesFurther Reading
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Papers by Topic
- A Bayesian Method for the Induction of Probabilistic Networks from Datastructure-learning
- A Branch-and-Bound Algorithm for MDL Learning Bayesian Networksstructure-learning
- A Live, Multiple-Representation Probabilistic Programming Environment for Novicesapplications
- Approximating Discrete Probability Distributions with Dependence Treestheory
- A Transformational Characterization of Equivalent Bayesian Network Structuresstructure-learning
- Bayes-Ball: The Rational Pastime (for Determining Irrelevance and Requisite Information in Belief Networks and Influence Diagrams)theory
Resources
- "A Brief Introduction to Graphical Models and Bayesian Networks," Kevin Murphy
- "A Gentle Introduction to Bayesian Belief Networks," Jason Brownlee - Machine Learning Mastery
- "Bayesian networks," Stefano Ermon
- bnlearn
routines for learning and inference in
- "Directed Graphical Models," Nicholas Ruozzi
- "Introduction to Bayesian Networks," Devin Soni - Towards Data Science
Further Reading
Showing a sample of 32 resources. View the full list on GitHub →