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Activity Details

80 Sun, 8/3/2014, 4:00 PM - 5:50 PM CC-104C
Regression in Data Mining — Contributed Papers
Section on Statistical Learning and Data Mining
Chair(s): Cuixian Chen, University of North Carolina at Wilmington   
4:05 PM Robust and Sparse Bridge Regression Bin Li, Louisiana State University ; Qingzhao Yu
4:20 PM Exact Inference for Linear and Logistic Regression After Model Selection Jason Lee, Stanford University ; Jonathan Taylor, Stanford University ; Yuekai Sun, Stanford University ; Dennis Sun, Stanford University
4:35 PM Lasso with Long Memory Regression Errors Abhishek Kaul, Michigan State University
4:50 PM Penalized Regression and Penalty Parameter Selection on High-Dimensional Data Peng Yang, North Carolina State University ; Soumendra Lahiri, North Carolina State University ; Shuva Gupta, North Carolina State University
5:05 PM Model-Free Sure Screening via Maximum Correlation Qiming Huang ; Yu Zhu, Purdue University
5:20 PM Variable Screening Under Dependence Teng Zhang, North Carolina State University ; Jessie Jeng, North Carolina State University
5:35 PM Principle Components Adjusted Variable Screening Method for Ultrahigh Dimensional Feature Space Zhongkai Liu, North Carolina State University ; Rui Song, North Carolina State University ; Donglin Zeng, University of North Carolina at Chapel Hill

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