JSM 2011 Online Program

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136	Mon, 8/1/2011, 8:30 AM - 10:20 AM	CC-B117
High-Dimensional Covariance and Network Estimation — Contributed Papers
Section on Statistical Learning and Data Mining , Section on Statistical Computing
Chair(s): Jinchi Lv, University of Southern California
8:35 AM	Sure-Assisted Tapering Estimation of Large Covariance Matrices — Feng Yi, University of Minnesota ; Hui Zou, University of Minnesota
8:50 AM	Doubly Shrinking of Correlation Matrices — Sheng-Mao Chang, National Cheng Kung University
9:05 AM	A Comparison of Batch Versus Iterative Approaches to Vertex Nomination — Minh Tang, The Johns Hopkins University ; Glen Coppersmith, The Johns Hopkins University ; Carey Priebe, The Johns Hopkins University
9:20 AM	Hierarchical Characterization of Loopy Vascular Networks — Marcelo Osvaldo Magnasco, Rockefeller University ; Eleni Katifori, Rockefeller University
9:35 AM	A New Statistics for Testing Covariance Struture of the High-Dimension Random Vector — Danning Li, University of Minnesota ; Tiefeng Jiang, University of Minnesota
9:50 AM	Floor Discussion

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