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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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