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Activity Details


651 Thu, 8/8/2013, 8:30 AM - 10:20 AM CC-512h
High-Dimensional Modeling — Contributed Papers
IMS
Chair(s): Reena Singh, York University
8:35 AM On Variable Selection Using Additive Conditional Independence Kuang-Yao Lee, Yale University ; Bing Li, The Pennsylvania State University ; Hongyu Zhao, Yale University
8:50 AM Fast Stagewise Algorithms for Approximate Regularization Paths Ryan Tibshirani
9:05 AM Adaptive Composite M-Estimation for Partially Overlapping Models Sunyoung Shin, The University of North Carolina Chapel Hill ; Jason Fine, The University of North Carolina Chapel Hill ; Yufeng Liu, The University of North Carolina
9:20 AM Selection of Shrinkage Estimators for Prediction Out-of-Sample Nina Senitschnig ; Hannes Leeb, Department of Statistics and OR, University of Vienna
9:35 AM UPS Delivers Optimal Phase Diagram in High-Dimensional Variable Selection Pengsheng Ji, University of Georgia ; Jiashun Jin, Carnegie Mellon University
9:50 AM Projective Method for Dimension Reduction with Multivariate Responses Armine Bagyan, The Pennsylvania State University ; Arkady Tempelman, The Pennsylvania State University ; Bing Li, The Pennsylvania State University
10:05 AM Residual Variance and the Signal-to-Noise Ratio in High-Dimensional Linear Models Lee Dicker, Rutgers University



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