Legend: 
= Applied Session,
= Theme Session,
= Presenter, Sheraton Seattle Hotel & Towers = “S”
Washington State Convention & Trade Center = “CC”, Grand Hyatt Seattle = “H”
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240
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Tue, 8/8/06, 8:30 AM - 10:20 AM
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CC-205
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Methods for High Dimensional Data - Contributed - Papers
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IMS
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Chair(s): Elizabeth Koehler, University of Washington
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8:35 AM
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Constrained Dimension Reduction Based on Canonical Correlation —  Jianhui Zhou, University of Virginia
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8:50 AM
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Sliced Inverse Regression under Data Contamination — Ulrike Genschel, Iowa State University
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9:05 AM
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Significance and Recovery of Block Structures in Binary and Real Matrices with Noise — Xing Sun, The University of North Carolina at Chapel Hill; Andrew Nobel, The University of North Carolina at Chapel Hill
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9:20 AM
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Some Extensions of a Two-Sample Test under the Effect of High Dimension — Yingli Qin, Iowa State University; Song X. Chen, Iowa State University; Liang Peng, Iowa State University
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9:35 AM
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Detecting Sparse Signals with a Large Scale of SPRTs — Yanhong Wu, University of the Pacific
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9:50 AM
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On the Accuracy of Data Squashing — Atsuyuki Kogure, Keio University; Masahiko Sagae, Gifu University
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10:05 AM
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New Tools for Sparse Inference: the Regime of Moderate Significances — Jiashun Jin, Purdue University
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