Causal Markov condition

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The Markov condition for a Bayesian network states that any node in a Bayesian network is conditionally independent of its nondescendents, given its parents.

A node is conditionally independent of the entire network, given its Markov blanket.

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Categories: Mathematics stubs | Philosophy stubs | Bayesian networks | Causality

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• This page was last modified 11:04, 25 September 2006 by Anonymous user(s) of Wikipedia. Based on work by Wikipedia user(s) Kzollman, Hike395, Oleg Alexandrov and Charles Matthews.
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