Causal Inference and Causal Explanation with Background Knowledge
Artificial Intelligence
2013-02-21 v1
Abstract
This paper presents correct algorithms for answering the following two questions; (i) Does there exist a causal explanation consistent with a set of background knowledge which explains all of the observed independence facts in a sample? (ii) Given that there is such a causal explanation what are the causal relationships common to every such causal explanation?
Keywords
Cite
@article{arxiv.1302.4972,
title = {Causal Inference and Causal Explanation with Background Knowledge},
author = {Christopher Meek},
journal= {arXiv preprint arXiv:1302.4972},
year = {2013}
}
Comments
Appears in Proceedings of the Eleventh Conference on Uncertainty in Artificial Intelligence (UAI1995)