Legend: Boston Convention & Exhibition Center = CC, Westin Boston Waterfront = W, Seaport Boston Hotel = S
A * preceding a session name means that the session is an applied session.
A ! preceding a session name means that the session reflects the JSM meeting theme.
A * preceding a session name means that the session is an applied session.
A ! preceding a session name means that the session reflects the JSM meeting theme.
Activity Details
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| 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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