Causal Analysis in Theory and Practice

UCLA Department of Statistics Seminar Series

Thu, 10/24/2013, 12:30 PM—1:30 PM
4660 Geology Bldg.

Judea Pearl and Joakim Ekstrom
Statistics
UCLA

A Conversation on Statistical Methodology, with Judea Pearl
http://statistics.ucla.edu/seminars/2013-10-24/12:30pm/4660-geology

Join us for a conversation on statistical methodology, and in particular the theory of causal inference. In this ‘Socratic dialogue’-styled conversation, recent A.M. Turing award winner Judea Pearl will discuss his views on statistical methodology with conversational partner Joakim Ekstrom. The conversation will start at R.A. Fisher’s randomization procedure for isolation of contributors to systematic variation, and then continue discussing the methodology of Judea Pearl for isolation and identification of causal factors in data obtained from sources other than perfectly randomized experiments.

In the conversation, there will be plenty of opportunity for attendees to ask questions, explore alternatives and raise objections, especially regarding ways of introducing causal inference in statistics education.

Judea Pearl is a Professor at UCLA Computer Science and Statistics, and has contributed greatly to the theory of causal inference. Joakim Ekstrom is a post-doctoral research scholar at UCLA Statistics, seminar co-organizer, and an expert on the theory and history of statistics.