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Bayesian Belief Networks
- Bayesian belief network (also known as Bayesian network, probabilistic network): allows class conditional independencies between subsets of variables
- Two components: (1) A directed acyclic graph (called a structure) and (2) a set of conditional probability tables (CPTs)
- A (directed acyclic) graphical model of causal influence relationships
- Represents dependency among the variables
- Gives a specification of joint probability distribution
- Nodes: random variables
- Links: dependency
- X and Y are the parents of Z, and Y is the parent of P
- No dependency between Z and P
- Has no loops/cycles
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