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arXiv · 1206.3536

Identifying Independence in Relational Models

Marc Maier·David Jensen
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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 for relational d-separation, and we present empirical results that demonstrate effectiveness.

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Marc Maier, David Jensen. 2013-04-15. Identifying Independence in Relational Models. https://arxiv.org/abs/1206.3536

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