Identifying Independence in Relational Models

Abstract

The rules of d -separation provide a framework for deriving conditional independence facts from model structure. However, this theory only applies to simple directed graphical models. We introduce relational d -separation, a theory for deriving conditional independence in relational models. We provide a sound, complete, and computationally efficient method… (More)

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