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Activity Details

75 Sun, 7/29/2012, 4:00 PM - 5:50 PM CC-Room 30D
Dimension Reduction Methods — Contributed Papers
Section on Statistical Learning and Data Mining , Biometrics Section , International Chinese Statistical Association , Section on Statistical Computing
Chair(s): Georg Matthias Goerg, Carnegie Mellon University
4:05 PM Direction Estimation in Single-Index Models via Distance Covariance Wenhui Sheng ; Xiangrong Yin, University of Georgia
4:20 PM Model-Based Sufficient Dimension Reduction for Longitudinal Data Analysis Shanshan Ding, University of Minnesota-Twin Cities ; Dennis Cook, University of Minnesota
4:35 PM Groupwise Sufficient Dimension Reduction via Envelope Method Zifang Guo, North Carolina State University ; Lexin Li, North Carolina State University ; Wenbin Lu, North Carolina State University
4:50 PM Sufficient Dimension Folding for Regression Mean Function Yuan Xue, University of Georgia ; Xiangrong Yin, University of Georgia
5:05 PM Using Principal Components Analysis to Model Muscle Force Contribution in ACL Injury Kristin Morgan, University of Tennessee ; Cyril Donnelly, University of Western Australia ; Jeffrey Reinbolt, University of Tennessee
5:20 PM Array Component Analysis with Application to Remote Sensing Atmospheric Science Data Irina Kukuyeva
5:35 PM Structure-Preserving Method for Dimension Reduction Ewa Nowakowska, Polish Academy of Sciences

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