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Activity Details

191 Mon, 8/5/2013, 10:30 AM - 12:20 PM CC-520e
Variable Selection for Regression — Contributed Papers
Section on Statistical Learning and Data Mining
Chair(s): Kai Zhang, UNC Chapel Hill
10:35 AM Sparse Multivariate Factor Regression Models and Its Application to High-Throughput Array Data Analysis Yan Zhou, University of Michigan ; Peter X.K. Song, University of Michigan ; Ji Zhu, University of Michigan
10:50 AM Tuning Parameter Selection in Bridge Regression Modeling Shuichi Kawano, Osaka Prefecture University
11:05 AM Iterative Selection Using Orthogonal Regression Techniques Bradley Turnbull, North Carolina State University ; Subhashis Ghosal, North Carolina State University ; Hao Helen Zhang, North Carolina State University
11:20 AM Large Sample Properties of Model Selection Criteria in High-Dimensional Regression Peng Yang, North Carolina State University ; Soumendra N. Lahiri, North Carolina State University
11:35 AM Variable Selection in Regression Using Maximal Correlation and Distance Correlation Deniz Yenigun, Bilkent University ; Maria L. Rizzo, Bowling Green State University
11:50 AM Generalized Elastic Net Regression Geoffroy Mouret, Ecole Polytechnique de Montreal ; Jean-Jules Brault, Ecole Polytechnique de Montreal ; Vahid Partovi Nia, École Polytechnique Montréal
12:05 PM On the Sensitivity of the Lasso to the Number of Predictor Variables Cheryl Flynn, New York University ; Clifford M. Hurvich, Stern School of Business, New York University ; Jeffrey S. Simonoff, Stern School of Business, New York University

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