A refinement of the common cause principle

Authors:
Nihat Ay
Affiliations:
Max Planck Institute for Mathematics in the Sciences, Inselstrasse 22, D-04103 Leipzig, Germany and Santa Fe Institute, 1399 Hyde Park Road, Santa Fe, NM 87501, USA
Venue:
Discrete Applied Mathematics
Year:
2009

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Abstract

I study the interplay between stochastic dependence and causal relations within the setting of Bayesian networks and in terms of information theory. The application of a recently defined causal information flow measure provides a quantitative refinement of Reichenbach's common cause principle.