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