Theory and Algorithms for Bayesian Networks

In this chapter we will provide the theoretical foundations underpinning the classes of BNs we explored in Chapter 1 (discrete BNs), Chapter 2 (GBNs) and Chapter 3 (hybrid BNs). In particular, we will introduce the formal definition of a BN and its fundamental properties. We will then show how these properties are at the base of BN learning and inference.