Stochastic Simulation of Bayesian Belief Networks

@article{Chin1988StochasticSO,
  title={Stochastic Simulation of Bayesian Belief Networks},
  author={Homer L. Chin and Gregory F. Cooper},
  journal={Int. J. Approx. Reasoning},
  year={1988},
  volume={2},
  pages={331}
}
This paper examines Bayesian belief network inference using simulation as a method for computing the posterior probabilities of network variables. Specifically, it examines the use of a method described by Henrion, called logic sampling, and a method described by Pearl, called stochastic simulation. We first review the conditions under which logic sampling is computationally infeasible. Such cases motivated the development of the Pearl's stochastic simulation algorithm. We have found that this… CONTINUE READING
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References

Publications referenced by this paper.
Showing 1-10 of 11 references

Probabilistic inference using belief networks is NP - hard

  • GF Cooper
  • 1987

NESTOR : A computer - based medical diagnostic aid that integrates causal and probabilistic knowledge

  • Cooper GF.
  • 1984

A model - based method for computer - aided medical decision making

  • CA WeissSM.Kulikowski, S Amarel, A Safir
  • Artificial Intelligence
  • 1978

A method for computing probabilities in complex situations

  • WF Rousseau
  • 1968

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