Bayesian Networks

Chapters
Authors

Cintron, D.W.

Published

1 January 2023

Publication details

International Encyclopedia of Education (4th Ed.), 119-129.

Links

 

In this chapter, we provide a basic overview of the notion and properties of Bayesian networks. We then discuss belief propagation, message-passing, and the recently developed R package, BayesNetBP, that facilitates belief propagation on Bayesian networks. We provide a motivating example using BayesNetBP for probabilistic reasoning in the form of a familiar multinomial Bayesian network known as the discrete IRT model (Almond et al., 2015). Finally, we conclude with comments on important developments in the field of Bayesian networks.