BriefGPT.xyz
Jun, 2012
因果发现中Y结构的理论研究
A theoretical study of Y structures for causal discovery
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Subramani Mani, Peter L. Spirtes, Gregory F. Cooper
TL;DR
本文介绍了第一种可进行大样本因果关系可靠识别的计算可行的基于分数的算法，允许存在未观测到的共同原因，并基于从观测数据中学习的贝叶斯网络结构来识别所谓的Y子结构，从而无需为存在未观察到的共同原因的因果结构分配分数。
Abstract
There are several existing algorithms that under appropriate assumptions can reliably identify a subset of the underlying
causal relationships
from
observational data
. This paper introduces the first computationa
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