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Activity Details

463 Wed, 8/6/2014, 8:30 AM - 10:20 AM CC-157B
Nonparametric Methods for High-Dimensional Data — Contributed Papers
Section on Nonparametric Statistics
Chair(s): Gerda Claeskens, KU Leuven   
8:35 AM Bootstrapping the Partial Linear Model Megan Heyman ; Snigdhansu Chatterjee, University of Minnesota
8:50 AM An RKHS Approach to Estimating High-Dimensional Graphs Kuang-Yao Lee, Yale ; Bing Li, Penn State ; Hongyu Zhao, Yale
9:05 AM Hypothesis Testing for Sparse Binary Regression Rajarshi Mukherjee, Harvard ; Xihong Lin, Harvard School of Public Health ; Natesh S. Pillai, Harvard
9:20 AM The Residual Bootstrap for High-Dimensional Linear Models with Low-Rank Designs Miles Lopes, University of California, Berkeley
9:35 AM Simultaneous Confidence Bands for Derivative Functions in Repeated Functional Data Guanqun Cao, Auburn University
9:50 AM On Depth-Based Minimum Volume Ellipsoid Estimators Jin Wang, Northern Arizona University
10:05 AM Model-Based Block Clustering with EM Algorithm Prabhani Kuruppumullage Don, Penn State ; Bruce G. Lindsay, Penn State ; Francesca Chiaromonte, Penn State

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