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Jun, 2012
将因果优先知识作为路径约束融入贝叶斯网络和最大祖先图
Incorporating Causal Prior Knowledge as Path-Constraints in Bayesian Networks and Maximal Ancestral Graphs
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Giorgos Borboudakis, Ioannis Tsamardinos
TL;DR
本研究讨论将关于因果关系的先验知识纳入因果模型,并介绍了一些基于因果贝叶斯网络和最大祖宗图等模型的加入因果先验知识的方法和过程,通过模拟实验和案例研究发现,加入少量先验知识将导致大量新的推断结果。
Abstract
We consider the incorporation of causal knowledge about the presence or absence of (possibly indirect) causal relations into a
causal model
. Such causal relations correspond to directed paths in a
causal model
. T
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