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CC = Vancouver Convention Centre   F = Fairmont Waterfront Vancouver
* = applied session       ! = JSM meeting theme

Activity Details

594 Wed, 8/1/2018, 2:00 PM - 3:50 PM CC-West 111
Methods for Analysis of High-Dimensional Data — Contributed Papers
Section on Statistical Learning and Data Science
Chair(s): Bernard Lee, HedgeSPA Limited
2:05 PM 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
2:20 PM Optimal Quadratic Estimators Using Fourier Transform in the Central Subspaces

Jiaying Weng, University of Kentucky; Xiangrong Yin, University of Kentucky
2:35 PM On Post Dimension Reduction Statistical Inference

Kyongwon Kim, The Pennsylvania State University; Bing Li, The Pennsylvania State University
2:50 PM 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
3:05 PM Finding Best Low Dimensional Angles for Visualizing High-Dimensional Data

Yanming Di, Oregon State University; Wanli Zhang, Oregon State University
3:35 PM Dimension Reduction of High-Dimensional Data Sets Based on Stepwise SVM

Elizabeth Chou, National Chengchi University; Tzu-Wei Ko, National Chengchi University