Causal inference and causal explanation with background knowledge

Authors:
Christopher Meek
Affiliations:
Department of Philosophy, Carnegie Mellon University, Pittsburgh, PA
Venue:
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Year:
1995

Citing 3
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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?