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80 * ! Mon, 8/9/2021, 10:00 AM - 11:50 AM Virtual
Sufficient Dimension Reduction and Applications — Topic-Contributed Papers
Section on Statistical Learning and Data Science, Section on Statistical Computing, Biometrics Section
Organizer(s): Ruth Pfeiffer, NCI-DCEG
Chair(s): Bin Zhu, National Cancer Institute
10:05 AM Real-Time Sufficient Dimension Reduction Through Principal Least-Squares Support-Vector Machines
Yuexiao Dong, Temple University; Andreas Artemiou, Cardiff University; Seung Jun Shin, Korea University
10:25 AM Dimension Reduction for Multimodal Data Integration
Xin Zhang, Florida State University
10:45 AM Least Squares and Maximum Likelihood Estimation of Sufficient Reductions in Regressions with Matrix Valued Predictors
Efstathia Bura, TU Wien; Daniel Kapla, TU Wien; Ruth Pfeiffer, NCI-DCEG
11:05 AM PLS Regression Algorithms in the Presence of Nonlinearity
Liliana Forzani, Universidad Nacional del Litoral; Dennis Cook, University of Minnesota
11:25 AM Floor Discussion