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Activity Details


131 Mon, 8/4/2014, 8:30 AM - 10:20 AM CC-207
Big Data: Advances in Dimension Reduction — Contributed Papers
Section on Nonparametric Statistics
Chair(s): Wenli Luo, AstraZeneca   
8:35 AM Adjusted Information Criteria for High-Dimensional Sparse Variable Selection Maarten Jansen, Universite Libre de Bruxelles
8:50 AM Linear Semiparametric Estimation Procedure for the Segmentation of Multiple Series Based on a Lasso Strategy Cristian Meza, Universidad de Valparaiso ; Karine Bertin, Universidad de Valparaiso ; Xavier Collilieux, IGN-Université Paris Diderot ; Emilie Lebarbier, AgroParisTech
9:05 AM Integrating Data Transformation in Principal Components Analysis Mehdi Maadooliat, Marquette University ; Jianhua Z. Huang, Texas A&M ; Jianhua Hu, MD Anderson Cancer Center
9:20 AM Nonparametric Independence Screening via the Variance of the Regression Function Won Chul Song, Penn State ; Michael G. Akritas, Penn State
9:35 AM Beta-Skeletons Depth Functions and Medians Mengta Yang ; Reza Modarres, George Washington University
9:50 AM Penalized Rank Regression Using Adjusted Adaptive Lasso Asuman Turkmen, Ohio State University ; Omer Ozturk, Ohio State University
10:05 AM Sufficient Dimension Reduction for Multi-Populations Xuerong Wen, Missouri University of Science & Technology ; Tao Wang, Hongkong Baptist University ; Lixing Zhu, Hong Kong Baptist University



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