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67 * ! Sun, 8/7/2022, 4:00 PM - 5:50 PM CC-141
Advances in Variable Selection — Contributed Papers
Section on Statistical Learning and Data Science
Chair(s): Seema Sangari, Kennesaw State University
4:05 PM Properties and Applications of Feature Whitening
Ana Maria Kenney, UC Berkeley; Francesca Chiaromonte, Pennsylvania State University and Sant’Anna School of Advanced Studies
4:20 PM Are Latent Factor Regression and Sparse Regression Adequate?
Mengxin Yu, Princeton University; Jianqing Fan, Princeton University; Zhipeng Lou, Princeton University
4:35 PM A Feature Selection Technique for Binary Classification Problem
Ayman Alzaatreh, American University of Sharjah
4:50 PM Sample Size Calibration by FDR-Power Tradeoff for Logistic Regression in High Dimensions
Gerda Claeskens, KU Leuven; Jing Zhou, KU Leuven
5:05 PM Reluctant Interaction Modeling in Generalized Linear Models
Guo Yu, University of California Santa Barbara
5:20 PM Robust Estimation in High-Dimensional Sparse Heteroscedastic Linear Models
Duzhe Wang, Eli Lilly and Company
5:35 PM Flexible Structural Varying-Coefficient Regression to Better Predict Outcomes in Complex Neurogenerative Diseases
Farzaneh Boroumand, Macquarie University ; Samuel Muller, Macquarie University; Tanya P. Garcia, University of North Carolina at Chapel Hill; Rakheon Kim, Baylor University