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Activity Details

240 Mon, 8/4/2014, 2:00 PM - 3:50 PM CC-102A
Selection Methods — Contributed Papers
Section on Statistical Learning and Data Mining
Chair(s): Charles Kincaid, Experis   
2:05 PM Fused Lasso with the Adaptation of Parameter Ordering (Flapo) in Merging Multiple Studies with Repeated Measurements Fei Wang, Ford Motor Credit ; Lu Wang, University of Michigan ; Peter Song, University of Michigan
2:20 PM Variable Selection for High-Dimensional Nonparametric Ordinary Differential Equation Models with Applications to Dynamic Gene Regulatory Networks Hongqi Xue, University of Rochester Medical Center
2:35 PM Sequential Advantage Selection for Optimal Treatment Regime Ailin Fan, North Carolina State University ; Wenbin Lu, North Carolina State University ; Rui Song, North Carolina State University
2:50 PM Robust Group Variable Selection Methods Kristin Lilly, Auburn University ; Nedret Billor, Auburn University
3:05 PM High-Dimensional Variable Selection with Reciprocal L_1 Regularization Qifan Song, Texas A&M ; Faming Liang, Texas A&M
3:20 PM ThrEEBoost: Thresholded Boosting for Variable Selection and Prediction via Estimating Equations Julian Wolfson, University of Minnesota ; Christopher Miller, NAMSA
3:35 PM Improving the Robustness of Variable Selection and Predictive Performance of Lasso and Elastic-Net Regularized Generalized Linear Models and Cox Proportional Hazard Models Feng Hong, AbbVie ; Viswanath Devanarayan, AbbVie

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