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Activity Details


613 Thu, 8/8/2013, 8:30 AM - 10:20 AM CC-510c
Modern Nonparametric Theory for Functional and Time Series Data — Invited Papers
Section on Nonparametric Statistics , Statistical Learning and Data Mining Section
Organizer(s): Xiao Wang, Purdue University
Chair(s): Xiao Wang, Purdue University
8:35 AM Modeling Multiple Correlated Functional Outcomes with Spatially Heterogeneous Shape Characteristics David Ruppert, Cornell University ; Kunlaya Soiaporn, Cornell University ; Raymond J. Carroll, Texas A&M University
9:00 AM Nonparametric Regression with Rescaled Autoregressive Errors Michael Levine, Purdue University ; Jose E. Figueroa-Lopez, Department of Statistics Purdue University
9:25 AM Oracally Efficient Estimation of ARMA Model in the Presence of Trend — Qin Shao, University of Toledo ; Lijian Yang, Michigan State University
9:50 AM On Gaussian Oracle Inequalities for Structured Selection in Nonparametric Cox Model Jelena Bradic, UC San Diego ; Rui Song, North Carolina State University
10:15 AM Floor Discussion



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