Legend:
CC = Vancouver Convention Centre
F = Fairmont Waterfront Vancouver
* = applied session ! = JSM meeting theme
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594
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Wed, 8/1/2018,
2:00 PM -
3:50 PM
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CC-West 111
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Methods for Analysis of High-Dimensional Data — Contributed Papers
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Section on Statistical Learning and Data Science
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Chair(s): Bernard Lee, HedgeSPA Limited
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2:05 PM
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The Two-To-Infinity Norm and Singular Subspace Geometry with Applications to High-Dimensional Statistics
Joshua Cape, Johns Hopkins; Dept. of Applied Math and Statistics; Minh Tang, Johns Hopkins University; Carey E Priebe, Johns Hopkins University
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2:20 PM
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Optimal Quadratic Estimators Using Fourier Transform in the Central Subspaces
Jiaying Weng, University of Kentucky; Xiangrong Yin, University of Kentucky
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2:35 PM
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On Post Dimension Reduction Statistical Inference
Kyongwon Kim, The Pennsylvania State University; Bing Li, The Pennsylvania State University
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2:50 PM
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Kernel-Based Nonlinear Dimension Reduction for Automatic Gender Classification
Katherine Kempfert, University of Florida; Yishi Wang, University of North Carolina Wilmington; Cuixian Chen, University of North Carolina Wilmington
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3:05 PM
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Finding Best Low Dimensional Angles for Visualizing High-Dimensional Data
Yanming Di, Oregon State University; Wanli Zhang, Oregon State University
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3:35 PM
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Dimension Reduction of High-Dimensional Data Sets Based on Stepwise SVM
Elizabeth Chou, National Chengchi University; Tzu-Wei Ko, National Chengchi University
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