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Mar, 2013
判断一组可观察的独立关系是否具有因果解释的算法
An Algorithm for Deciding if a Set of Observed Independencies Has a Causal Explanation
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Tom S. Verma, Judea Pearl
TL;DR
本文提出了一种用于验证数据一致性的有效算法，该算法可以从独立性信息中提取因果关系，利用条件独立语句测试是否存在符合所有观测到的依赖性和独立性的因果模型，并找出存在的因果关系。
Abstract
In a previous paper [Pearl and Verma, 1991] we presented an
algorithm
for extracting causal influences from
independence information
, where a causal influence was defined as the existence of a directed arc in all
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