Article ID Journal Published Year Pages File Type
418756 Discrete Applied Mathematics 2009 19 Pages PDF
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.

Related Topics
Physical Sciences and Engineering Computer Science Computational Theory and Mathematics
Authors
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