JSM 2011 Online Program

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673	Thu, 8/4/2011, 10:30 AM - 12:20 PM	CC-D236
Advances in Dimension Reduction — Contributed Papers
Section on Statistical Learning and Data Mining , Section on Statistical Computing
Chair(s): Yingying Fan, University of Southern California
10:35 AM	Dimension Reduction of Multivariate Autocorrelated Processes — Xuan Huang, University of Alabama at Birmingham
10:50 AM	An Information Theoretic Approach for Dimensionality Reduction and Estimation of Network Modulations from High-Dimensional Electroencephalograms — Catherine Stamoulis, Harvard Medical School ; Bernard S. Chang, Harvard Medical School
11:05 AM	Identifying the Intrinsic Dimensionality Using the Minimum Spanning Tree — Adam Petrie, University of Tennessee
11:20 AM	Principal Components and Principal Fitted Components for Matrix or Array Valued Objects — Shanshan Ding, University of Minnesota ; R. Dennis Cook, University of Minnesota
11:35 AM	Introduction to Manifold Learning — Alan Julian Izenman, Temple University
11:50 AM	Floor Discussion

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