From the Harvard CS50AI Course

# Bayesian Network

Data structure that represents the dependencies among random variables.

- They are directed graphs.
- Each node on the graph represent a random variable.
- An arrow from $X$ to $Y$ represents that X is a parent of Y. That is, the probability distribution of Y depends on the value of X.
- Each node X has probability distribution $P(X∣Parents(X))$