Causal Inference and Causal Explanation with Background Knowledge
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: Causal inference, causal explanation, Bayesian networks, chain graphs,
PDF Link: /papers/95/p403-meek.pdf
AUTHOR = "Christopher Meek
TITLE = "Causal Inference and Causal Explanation with Background Knowledge",
BOOKTITLE = "Proceedings of the Eleventh Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-95)",
PUBLISHER = "Morgan Kaufmann",
ADDRESS = "San Francisco, CA",
YEAR = "1995",
PAGES = "403--410"