JSM 2011 Online Program

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476 !	Wed, 8/3/2011, 8:30 AM - 10:20 AM	CC-A111
High-Dimensional Covariance Matrix Inference — Contributed Papers
IMS
Chair(s): Daeyoung Kim, University of Massachusetts at Amherst
8:35 AM	High-Dimensional Sparse and Low-Rank Covariance Matrix Estimation via Convex Minimization — Xi Luo, University of Pennsylvania ; Tony Cai, University of Pennsylvania
8:50 AM	Hypothesis Testing for High-Dimensional Data — Yingli Qin, Nanyang Technological University
9:05 AM	Test for High-Dimensional Data Under Sparsity — Ping-Shou Zhong, Iowa State University ; Ping-Shou Zhong, Iowa State University
9:20 AM	Analysis of Iterative Hard Thresholding for Support Recovery in the High-Dimensional and Noisy Case for Gaussian X Matrices — Antony Joseph, Yale University ; Andrew Barron, Yale University
9:35 AM	Test for High-Dimensional Covariance Matrices with Banded Structure — Yumou Qiu, Iowa State University ; Song Xi Chen, Iowa State University
9:50 AM	Floor Discussion

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