Learning Probabilistic Graphical Models in R

Representing uncertainty with probabilities

Probabilistic graphical models, seen from the point of view of mathematics, are a way to represent a probability distribution over several variables, which is called a joint probability distribution. In other words, it is a tool to represent numerical beliefs in the joint occurrence of several variables. Seen like this, it looks simple, but what PGM addresses is the representation of these kinds of probability distribution over many variables. In some cases, many could be really a lot, such as thousands to millions. In this section, we will review the basic notions that are fundamental to PGMs and see their basic implementation in R. If you're already familiar with these, you can easily skip this section. ...