JSM 2010 Online Program

136	Mon, 8/2/2010, 8:30 AM - 10:20 AM	CC-14 (East)
Sparse Estimation and Testing — Contributed Papers
Section on Statistical Computing
Chair(s): Hongjian Zhu, University of Virginia
8:35 AM	A Computationally Efficient and Statistically Robust Optimal Discovery Procedure Estimator — Sangsoon Woo, University of Washington ; John Storey, Princeton University
8:50 AM	Computing a Near Positive Definite Covariance Matrix from a Nonpositive Definite Matrix — Jose H. Guardiola, Texas A&M University ; Rachel Larreta, Texas A&M University ; Pablo Tarazaga, Texas A&M University ; Hassan Elsalloukh, University of Arkansas at Little Rock
9:05 AM	Orthonormally Constrained Optimization with Application to Regularized PCA — Trevor Park, University of Florida
9:20 AM	Efficient Kriging for Large Spatial Fields — Karl Pazdernik, Iowa State University ; Ranjan Maitra, Iowa State University ; Douglas Nychka, National Center for Atmospheric Research ; Stephan Sain, National Center for Atmospheric Research
9:35 AM	Sparse Multivariate Regression with Covariance Estimation — Adam Rothman, University of Michigan ; Elizaveta Levina, University of Michigan ; Ji Zhu, University of Michigan
9:50 AM	Pairwise Variable Selection for Classification — Xingye Qiao, The University of North Carolina at Chapel Hill ; Yufeng Liu, The University of North Carolina at Chapel Hill ; J. S. Marron, The University of North Carolina at Chapel Hill

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