2015 Program

2015 Keynote Cassel Lecture

jpearlJudea PearlProfessor
University of California, Los Angeles
Computer Science Department

“The Scientific Approach to Causal Inference”

The enourmous progress of causal analysis in the past few decades can safely be attributed to a paradigmatic shift and two fundamental principles. The shift involves a commitment to represent reality in terms of data-generating processes, rather than distributions. The principles are: (1) How counterfactuals are to be computed from a data-generating process, and (2) How dependencies in the observed data can be inferred from the structure of the process. Read more