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