A linear-algebraic tool for conditional independence inference

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Kentaro Tanaka, Milan Studeny, Akimichi Takemura, Tomonari Sei

Abstract

In this note, we propose a new linear-algebraic method for the implication problem among conditional independence statements, which is inspired by the factorization characterization of conditional independence. First, we give a criterion in the case of a discrete strictly positive density and relate it to an earlier linear-algebraic approach. Then, we extend the method to the case of a discrete density that need not be strictly positive. Finally, we provide a computational result in the case of six variables.

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