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Activity Details

7 * ! Sun, 7/30/2017, 2:00 PM - 3:50 PM CC-317
New Developments in Predictive Modeling of High-Dimensional Data — Invited Papers
Council of Chapters , Section on Statistical Learning and Data Science , Statistics in Business Schools Interest Group
Organizer(s): Anthony J Babinec, AB Analytics
Chair(s): Anthony J Babinec, AB Analytics
2:05 PM ROS Regression: Integrating Regularization with Optimal Scaling for Predictive Modeling of High-Dimensional Data Jacqueline J Meulman, Leiden University
2:30 PM Comparing Correlated Component Regression with Lasso for Variable Selection in Logistic Regression with High-Dimensional Data Jay Magidson, Statistical innovations
2:55 PM New Problem Settings for Predictive Modeling of High-Dimensional Data Vladimir Cherkassky, University of Minnesota
3:20 PM Discussant: Yunzhang Zhu, Ohio State University
3:45 PM Floor Discussion
 
 
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