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135 * ! Tue, 8/4/2020, 10:00 AM - 11:50 AM Virtual
Move Non/Semiparametrics Forward in Causal Inference, Missing Data Analysis, and Data Integration — Invited Papers
Section on Nonparametric Statistics, Section on Statistical Learning and Data Science, International Chinese Statistical Association
Organizer(s): Jiwei Zhao, State University of New York at Buffalo
Chair(s): Jiwei Zhao, State University of New York at Buffalo
10:05 AM Combining Multiple Observational Data Sources to Estimate Causal Effects
Peng Ding, University of California, Berkeley; Shu Yang, North Carolina State University
10:30 AM Learning When-to-Treat Policies
Stefan Wager, Stanford University; Xinkun Nie, Stanford University; Emma Brunskill, Stanford University
10:55 AM A Bayesian Nonparametric Approach for Estimating the Causal Effect of a Time-Varying/Dynamic Treatment
Michael Daniels, University of Florida; Kumaresh Dhara, University of Florida; Jason Roy, Rutgers University
11:20 AM Minimax Optimal Estimation of Heterogeneous Treatment Effects
Edward Kennedy, Carnegie Mellon University
11:45 AM Floor Discussion