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* = applied session ! = JSM meeting theme
Activity Details
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80 * !
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Mon, 8/9/2021,
10:00 AM -
11:50 AM
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Virtual
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Sufficient Dimension Reduction and Applications — Topic-Contributed Papers
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Section on Statistical Learning and Data Science, Section on Statistical Computing, Biometrics Section
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Organizer(s): Ruth Pfeiffer, NCI-DCEG
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Chair(s): Bin Zhu, National Cancer Institute
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10:05 AM
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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
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10:25 AM
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Dimension Reduction for Multimodal Data Integration
Xin Zhang, Florida State University
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10:45 AM
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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
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11:05 AM
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PLS Regression Algorithms in the Presence of Nonlinearity
Liliana Forzani, Universidad Nacional del Litoral; Dennis Cook, University of Minnesota
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11:25 AM
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Floor Discussion
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