This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Activity Details

589 Wed, 8/4/2010, 2:00 PM - 3:50 PM CC-9 (East)
High-Dimensional Regression — Contributed Papers
Section on Statistical Learning and Data Mining , Section on Quality and Productivity
Chair(s): Emilio Francisco Seijo, Columbia University
2:05 PM Regularization, Sparsity, and Rank Restrictions in High-Dimensional Regression Alan Julian Izenman, Temple University
2:20 PM High-Dimension, Low-Sample-Size Asymptotics Using Deterministic Geometric Structure of Stochastic Data: Application to an Extension of SVM for Data on Manifolds Suman Kumar Sen, Novartis Pharmaceuticals Corporation ; J. S. Marron, The University of North Carolina at Chapel Hill ; Mark Foskey, The University of North Carolina at Chapel Hill ; Sarang Joshi, The University of Utah
2:35 PM Multicategory Vertex Discriminant Analysis for High-Dimensional Data Tongtong Wu, University of Maryland ; Kenneth Lange, University of California, Los Angeles
2:50 PM Correlated Component Regression: A Prediction/Classification Methodology for Possibly Many Features Jay Magidson, Statistical Innovations Inc.
3:05 PM Floor Discussion

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