Distinguished Theme Seminar Series
Causal Inference, Fall 2021
August 27, Friday (YouTube access)
10:30 – 11:30 a.m. EDT: Introductory Workshop, Associate Professor Arman Sabbaghi - Department of Statistics, Purdue University
September 3, Friday in person (BRNG 2280) and online (YouTube access)
10:30 – 11:30 a.m. EDT: Clutter-Free Causal Inference, Professor Donald B. Rubin - Temple, Tsinghua, and Harvard Universities
September 10, Friday (YouTube access)
10:30 – 11:30 a.m. EDT: Single World Intervention Graphs (SWIGs): A Unification of the Graphical and Counterfactual Approaches to Causality with Applications, Professor James M. Robins - Harvard T.H. Chan School of Public Health
September 17, Friday (YouTube access)
1:30 – 3:30 p.m. EDT: What is Causal Inference? - A Logical Perspective, Professor Judea Pearl, Samueli School of Engineering, University of California-Los Angeles
September 24, Friday (YouTube access)
10:30 – 11:30 a.m. EDT: Statistical Learning: Causal-oriented and Robust, Professor Peter Bühlmann, Department of Mathematics, ETH Zürich
11:30 a.m. – 12:30 p.m. EDT (YouTube access) Panel Discussion. Chair: Professor Jun Xie (Purdue University); Panelists: Professor Peng Ding (University of California, Berkeley), and Professors Chuanhai Liu, Nianqiao Phyllis Ju, Fei Xue (Purdue University); Moderators: Professors Vinayak Rao, Arman Sabbaghi (Purdue University).