Reading Dependencies from Polytree-Like Bayesian Networks
classification
💻 cs.AI
cs.LGstat.ML
keywords
compositioncriteriondependenciesreadingtransitivityweakargueassuming
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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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