Semigraphoids are Two-Antecedental Approximations of Stochastic Conditional Independence Models
نویسنده
چکیده
The semigraphoid closure of every couple of CI-statements (CI=conditional independence) is a stochastic CI-model. As a consequence of this result it is shown that every probabilistically sound inference rule for CI-models, having at most two antecedents, is derivable from the semigraphoid inference rules. This justiies 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.
منابع مشابه
Semigraphoids Are Two-Antecedental Approximations of Stochastic Conditional Independence Models
The semigraphoid closure of every couple of CI-statements (CI=conditional indepen dence) is a stochastic CI-model. As a con sequence of this result it is shown that ev ery probabilistically sound inference rule for CI-models, 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...
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تاریخ انتشار 2007