Reading Dependencies from Polytree-Like Bayesian Networks

Published 20 Jun 2012 in cs.AI, cs.LG, and stat.ML | (1206.5263v1)

Abstract: We present a graphical criterion for reading dependencies from the minimal directed independence map G of a graphoid p when G is a polytree and p satisfies composition and weak transitivity. We prove that the criterion is sound and complete. We argue that assuming composition and weak transitivity is not too restrictive.

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Jose M. Pena

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