Written by Alexei Gilchrist, updated months ago
A factorisation of the joint probability distribution can be represented in a graph known as a Bayesian Network. These networks codify independencies between variables and information flow as variables are measured.
Level: 2, Subjects: Bayesian Networks

1 Graphs

A brief introduction to graphs and DAGs and some of the associated definitions.

2 Bayesian Networks

A Bayesian Network encodes a factorisation of the joint probability distribution of a model's parameters. It's an efficient representation of the probabilistic information contained in the model.

3 Reasoning patterns in Bayesian Networks

There are several common reasoning patterns in a Bayesian Network, and this is a quick introduction without any formality.