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* = applied session       ! = JSM meeting theme

Activity Details

284 * ! Wed, 8/5/2020, 10:00 AM - 11:50 AM Virtual
Statistical Learning for Dependent and Complex Data: New Directions and Innovation — Invited Papers
Section on Statistics in Marketing, Business and Economic Statistics Section, Section on Statistical Learning and Data Science
Organizer(s): Guannan Wang, College of William and Mary
Chair(s): Guannan Wang, College of William and Mary
10:05 AM Reduced Rank Autoregressive Models for Matrix Time Series
Rong Chen, Rutgers University
10:30 AM Fast and Fair Simultaneous Confidence Bands for Functional Parameters
Matthew Reimherr, Penn State University
10:55 AM High-Dimensional Sparse Nonlinear Vector Autoregressive Models
Yuefeng Han, Rutgers University; Wei Biao Wu, University of Chicago; Likai Chen, Washington University in St. Louis
11:20 AM Spatiotemporal Dynamics, Nowcasting and Forecasting COVID-19 in the United States
Guannan Wang, College of William and Mary; Lily Wang, Iowa State University; Yueying Wang, Iowa State University
11:45 AM Floor Discussion