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# Bayesian scoring functions for Bayesian Belief Networks

Covers the BD, BDe, BDeu, and K2 Bayesian scoring functions for Bayesian Belief Networks (BBNs)

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### Bayesian scoring functions for Bayesian Belief Networks

2. 2. PURPOSE AND OUTLINE Purpose: concisely illustrate how some Bayesian scoringfunctions have been established to score Bayesian beliefnetworks (BBNs) Define a BBN Cover what Bayesian scoring functions are based on Basic mathematic functions (factorial, gamma, and Beta functions) Probability distributions (multinomial, Dirichlet, Dirichlet-multinomial) Bayes’ Theorem Assumptions Give a few Bayesian scoring function examples (BD, K2, BDe,BDeu)THIS W ORK IS LICENSED UNDER ACREATIVE COMMONS ATTRIBUTION 3.0UNPORTED LICENSE. 2
3. 3. DEFINITION OF A BBN A BBN is defined as a pair (G,P) where G and P themselves are defined as followsTHIS W ORK IS LICENSED UNDER ACREATIVE COMMONS ATTRIBUTION 3.0UNPORTED LICENSE. 3

Covers the BD, BDe, BDeu, and K2 Bayesian scoring functions for Bayesian Belief Networks (BBNs)

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