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425 * ! Thu, 8/12/2021, 4:00 PM - 5:50 PM Virtual
Modern Statistical Learning of Complex Data — Invited Papers
Section on Nonparametric Statistics, IMS, Section on Statistical Learning and Data Science
Organizer(s): Lily Wang, Iowa State University
Chair(s): Lily Wang, Iowa State University
4:05 PM Sparse Modeling of Functional Linear Regression via Fused Lasso with Application to Genotype-by-Environment Interaction Studies
Shan Yu, University of Virginia; Lily Wang, Iowa State University; Dan Nettleton, Iowa State University; Aaron Kusmec, Iowa State University
4:25 PM Group Testing with Missing Values
Aurore Delaigle, University of Melbourne; Ruoxu Tan, University of Melbourne
4:45 PM Kernel-Based Learning for Informative Selection in Complex Surveys
Jay Breidt, Colorado State University; Teng Liu, Colorado State University
5:05 PM Robust Estimation of Additive Boundaries with Quantile Regression and Shape Constraints
Lan Xue, Oregon State University; Yan Fang, Shanghai University of International Business and Economics; Carlos Martins-Filho, University of Colorado; Lijian Yang, Tsinghua University
5:25 PM On Function-On-Scalar Quantile Regression
Yusha Liu , University of Chicago; Meng Li, Rice University; Jeffrey S. Morris, University of Pennsylvania Perelman School of Medicine
5:45 PM Floor Discussion