Decision Analysis - Bayesian Networks
Last Update: 2022-02-20
Chapter 1 Introduction
1.1 Aim
1.2 Motivation
- We have an understanding of BNs as graphical models representing probability distributions.
- What does that imply in terms of the underlying probability distribution?
- What happens if a probability distribution factorizes with respect to a graph?
- What kind of computations can we make on BNs?
- What kind of questions can we answer using (quantified) BNs?