Semigraphoids Are Two-Antecedental Approximations of Stochastic Conditional Independence Models

Milan Studeny

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arXiv · 1302.6847

Semigraphoids Are Two-Antecedental Approximations of Stochastic Conditional Independence Models

Milan Studeny

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Abstract

The semigraphoid closure of every couple of CI-statements (GI=conditional independence) is a stochastic CI-model. As a consequence of this result it is shown that every probabilistically sound inference rule for CI-model, having at most two antecedents, is derivable from the semigraphoid inference rules. This justifies the use of semigraphoids as approximations of stochastic CI-models in probabilistic reasoning. The list of all 19 potential dominant elements of the mentioned semigraphoid closure is given as a byproduct.

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Milan Studeny. 2013-02-27. Semigraphoids Are Two-Antecedental Approximations of Stochastic Conditional Independence Models. https://arxiv.org/abs/1302.6847

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