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Activity Details

319 Tue, 8/6/2013, 8:30 AM - 10:20 AM CC-525b
Topics on Variable Selection — Contributed Papers
Section on Statistical Learning and Data Mining
Chair(s): Wen Shi, UNC
8:35 AM Variable Selection for Varying-Coefficient Models via the Elastic Net Regularization Hidetoshi Matsui, Kyushu University ; Toshihiro Misumi, Astellas Pharma Inc.
8:50 AM Variable Selection in Measurement Error Models via Least Squares Approximation Guangning Xu, North Carolina State University ; Len Stefanski, North Carolina State University
9:05 AM Controlling the Local False Discovery Rate in the Adaptive Lasso Joshua Sampson, DCEG, National Cancer Institute ; Nilanjan Chatterjee, National Cancer Institute ; Raymond J. Carroll, Texas A&M University ; Samuel Mueller, University of Sydney
9:20 AM Using Machine Learning to Identify Best Treatment Subgroup Characteristics Barry Eggleston, RTI International ; Georgiy Bobashev, RTI International ; Nikhil Garge, RTI International
9:35 AM Bayesian Variable Selection for Skewed and Heteroscedastic Error — Yuanyuan Tang, Florida State University ; Debajyoti Sinha, Florida State University ; Yiyuan She, Florida State University ; Stuart Lipsitz, Brigham and Women's Hospital
9:50 AM Alternatives to Penalization for Sparse Models Sarah Emerson, Oregon State University
10:05 AM Floor Discussion

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