A Refinement of the Common Cause Principle

@article{citeulike:2583352, abstract = {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. Keywords: causality theory; Bayesian networks; information flows; common cause principle; multi-information}, author = {Ay, Nihat }, citeulike-article-id = {2583352}, institution = {Santa Fe Institute}, keywords = {bayesian\_network, causality, information\_theory}, posted-at = {2008-03-25 04:46:03}, priority = {0}, title = {A Refinement of the Common Cause Principle}, year = {2008} }

TY - JOUR ID - citeulike:2583352 L3 - citeulike-article-id:2583352 N2 - 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. Keywords: causality theory; Bayesian networks; information flows; common cause principle; multi-information TI - A Refinement of the Common Cause Principle KW - bayesian_network KW - causality KW - information_theory AU - Ay, Nihat PY - 2008/// ER -