Legend: Palais des congrès de Montréal = CC, Le Westin Montréal = W, Intercontinental Montréal = I
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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| 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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