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Bayesian Networks

  •  a,b,c - propositions (events). Bayesian networks model causal relations between events

  • Inference in Bayesian Nets:

    • Given probability distributions for roots and conditional probabilities can compute apriori probability of any instance

    • Fixing assumptions (e.g., was observed) will cause recomputation of probabilities

  • For more information see:

  • R.G. Cowell, A.P. Dawid, S.L. Lauritzen, and D.J. Spiegelhalter. 1999. Probabilistic Networks and Expert Systems. Springer Verlag.

  • J. Pearl. 1988. Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. Morgan-Kaufman.

Speaker notes:

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