Theory and Algorithms for Bayesian Networks

In this chapter we will provide the theoretical foundations underpinning the classes of Bayesian networks we explored in the previous chapters. In particular, we will introduce the formal definition of a Bayesian network and its fundamental properties. We will then show how these properties provide a rigorous foundation for learning, inference and model validation including causal modelling.