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Workshop

A Refinement of the Common Cause Principle

  • Nihat Ay (MPI MiS Leipzig, Germany)
G3 10 (Lecture hall)

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, see the working paper at Santa Fe Institute.

Antje Vandenberg

Max-Planck-Institut für Mathematik in den Naturwissenschaften Contact via Mail

Nihat Ay

Max Planck Institute for Mathematics in the Sciences, Leipzig

František Matúš

Academy of Sciences of the Czech Republic, Prague