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520 ! Thu, 8/6/2020, 1:00 PM - 2:50 PM Virtual
New Quantile-Modeling Methods for Large-Scale Heterogeneous Data — Invited Papers
Section on Nonparametric Statistics, International Chinese Statistical Association, IMS
Organizer(s): Lan Wang, University of Minnesota
Chair(s): Qi Zheng, University of Louisville
1:05 PM Quantile Regression Approach to Conditional Mode Estimation
Kengo Kato, Cornell University; Hirofumi Ota, Rutgers University; Satoshi Hara, Osaka University
1:30 PM Uniform Inference for Heterogeneous Quantile Treatment Effects in High Dimensions
Alexander Giessing, Princeton University; Jingshen Wang, UC Berkeley
1:55 PM Lean-Assumption Quantile Regression for High-Dimensional Data
Lan Wang, University of Minnesota
2:20 PM Discussant: Ying Wei, Columbia University
2:40 PM Floor Discussion