✦ LIBER ✦

Gibbs sampling in Bayesian networks

✍ Scribed by Tomas Hrycej

Publisher: Elsevier Science
Year: 1990
Tongue: English
Weight: 668 KB
Volume: 46
Category: Article
ISSN: 0004-3702
DOI: 10.1016/0004-3702(90)90020-z

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✦ Synopsis

Posterior probabilities in Bayesian networks can be evaluated by stochastic simulation. It is shown that the stochastic simulation can be viewed as a sampling from the Gibbs distribution. This view is useful in (1) making statements about convergence of the simulation and (2)finding the most likely instantiation of the Bayesian network.

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