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403 * ! Wed, 8/5/2020, 1:00 PM - 2:50 PM Virtual
Sufficient Dimension Reduction and Variable Selection for High-Dimensional Inference — Topic Contributed Papers
Section on Nonparametric Statistics, Section on Statistical Learning and Data Science, International Chinese Statistical Association
Organizer(s): Wenbo Wu, University of Texas at San Antonio
Chair(s): Wenbo Wu, University of Texas at San Antonio
1:05 PM Principal Asymmetric Least Squares for Sufficient Dimension Reduction
Yuexiao Dong, Temple University; Abdul-Nasah Soale, Temple University
1:25 PM On Sufficient Dimension Reduction for Functional Data via Weak Conditional Moments
Jun Song, UNC Charlotte; Bing Li, Pennsylvania State University
1:45 PM Sufficient Variable Selection via Expected Conditional Hilbert-Schmidt Independence Criterion
Chenlu Ke, Virginia Commonwealth University
2:05 PM On Sufficient Dimension Reduction with Mixture Normally Distributed Predictors
Wei Luo, Zhejiang University
2:25 PM Floor Discussion