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Workshop

On the identification of causal relations

  • Nihat Ay (MPI MiS, Leipzig, Germany)
A3 01 (Sophus-Lie room)

Abstract

We study the relation between correlation and causation within the setting of Bayesian networks. By using an information flow measure for causation we provide a quantitative extension of Reichenbach's principle of common cause. In particular, we clarify in what sense one can infer causal relations from the correlation of variables. Furthermore, we will discuss the role of general interventions including knockout perturbations for the identification of a system's mechanisms.

Antje Vandenberg

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

Nihat Ay

Max Planck Institute for Mathematics in the Sciences