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Activity Details


45 Sun, 8/4/2013, 2:00 PM - 3:50 PM CC-518
High-Dimensional Statistical Learning — Contributed Papers
Section on Statistical Learning and Data Mining , Section on Statistical Computing
Chair(s): Guanhua Chen, The University of North Carolina at Chapel Hill
2:05 PM Rank Theory: Shrinkage and Selection A. K. Md. Ehsanes Saleh, Carleton University ; Radim Navratil, Charles University
2:20 PM Large Covariance Estimation by Thresholding Principal Orthogonal Complements Martina Mincheva, Princeton University ; Jianqing Fan, Princeton University ; Yuan Liao, University of Maryland
2:35 PM High-Dimensional Factor Analysis with Sparse Procrustean Rotation for Gene Discovery and Genetic Risk Assessment Randy Carter, University At Buffalo ; Netsanet Imam, Virginia Bioinformatics Institute
3:05 PM Optimal Feature Selection by Higher Criticism in High-Dimensional Spectral Clustering Wanjie Wang ; Jiashun Jin, Carnegie Mellon University
3:20 PM High-Dimensional Forecasting for Web Data Souvik Ghosh, LinkedIn Corp ; Deepak Agarwal, LinkedIn
3:35 PM Floor Discussion



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