JSM 2012 Online Program
The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.
Online Program HomeActivity Details
|
|||
296 | Tue, 7/31/2012, 8:30 AM - 10:20 AM | CC-Room 28A | |
Methods in High-Dimensional Regression — Contributed Papers | |||
Biometrics Section , Section on Statistical Learning and Data Mining | |||
Chair(s): Daniel Rowe, Marquette University | |||
8:35 AM | Hypothesis Testing in High-Dimensional Sparse Regression — Rajarshi Mukherjee | ||
8:50 AM | Multiple Imputation for High-Dimensional Mixed Incomplete Data Using a Factor Model — Ren He, University of California at Los Angeles Fielding School of Public Health ; Thomas R. Belin, University of California at Los Angeles | ||
9:05 AM | Incorporating Auxiliary Information for Improved Prediction in High-Dimensional Data Sets: An Ensemble of Shrinkage Approaches — Philip S Boonstra, University of Michigan ; Bhramar Mukherjee, University of Michigan ; Jeremy Michael George Taylor, University of Michigan | ||
9:20 AM | Fused Estimators of the Central Subspace in Sufficient Dimension Reduction — Xin Zhang, University of Minnesota-Twin Cities ; Dennis Cook, University of Minnesota | ||
9:35 AM | Multivariate Tests for High-Dimensional Data — Guoqing Diao, George Mason University ; Bret Hanlon, University of Wisconsin-Madison ; Anand N. Vidyashankar, George Mason University | ||
9:50 AM | High-Dimensional Universal Dependence Variable Selection — Hesen Peng, Amazon.com ; Tianwei Yu, Emory University ; Yun Bai, Philadelphia College of Osteopathic Medicine | ||
10:05 AM | Adaptive Nuclear-Norm Penalization in Multivariate Regression — Kun Chen, Kansas State University ; Hongbo Dong, University of Wisconsin-Madison ; Kung-Sik Chan, University of Iowa |
2012 JSM Online Program Home
For information, contact jsm@amstat.org or phone (888) 231-3473.
If you have questions about the Continuing Education program, please contact the Education Department.