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306 Wed, 8/5/2020, 10:00 AM - 11:50 AM Virtual
Algorithmic and Inferential Advances in Univariate and Multivariate Tuning-Parameter-Free Nonparametric Procedures — Topic Contributed Papers
Section on Statistical Learning and Data Science, Section on Nonparametric Statistics, IMS
Organizer(s): Charles Doss, University of Minnesota
Chair(s): Guangwei Weng, University of Minnesota
10:05 AM Multivariate Rank-Based Distribution-Free Nonparametric Testing Using Measure Transportation
Bodhisattva Sen, Columbia University; Nabarun Deb, Columbia University
10:25 AM Likelihood Ratio Tests and Confidence Intervals Based on the Shape Constraint of Concavity
Charles Doss, University of Minnesota; Jon Wellner, University of Washington
10:45 AM Multivariate Adaptation in Log-Concave Density Estimation
Arlene K. H. Kim, Korea University; Richard Samworth, University of Cambridge; Oliver Feng, University of Cambridge; Adityanand Guntuboyina, University of California, Berkeley
11:05 AM Dyadic CART Revisited
Sabyasachi Chatterjee, University of Illinois at Urbana-Champai
11:25 AM Learning Multivariate Log-Concave Densities
Ilias Diakonikolas, UW Madison
11:45 AM Floor Discussion