Pittsburgh, Pennsylvania, United States of America
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    In the last several decades, a confluence of work in the social sciences, philosophy, statistics, and computer science has developed a theory of causal inference using directed graphs. This theory typically rests either explicitly or implicitly on two major assumptions.
  • Causality Workbench
    with Isabelle Guyon, C. Aliferis, G. Cooper, A. Elisseeff J.-P. Pellet, and A. Statnikov
    In Phyllis McKay Illari, Federica Russo & Jon Williamson (eds.), Causality in the Sciences, Oxford University Press. 2011.