A Bayesian network is a simple, graphical notation for conditional independence assertions => compact specification of full joint distributions.

  • Each node corresponds to a random variable (discrete or continuous).
  • Directed edge from node to node means is parent of . Likewise, is the child.
  • Graph is a Directed Acyclic Graph (no directed cycles).
  • Each node has a conditional probability that quantifies the effect of the parent nodes.