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Activity Details

73 Sun, 7/30/2017, 4:00 PM - 5:50 PM CC-330
Nonparametric Statistics in High-Dimensional Settings — Contributed Papers
Section on Nonparametric Statistics , Section on Statistical Learning and Data Science
Chair(s): Zsolt Talata, University of Kansas
4:05 PM Nonparametric non-convex penalized regression spline and application in ECG recording Yao Chen, Purdue University ; Xiao Wang, Purdue University ; Mohammad Adibuzzaman, Purdue University ; Yonghan Jung, Purdue University
4:20 PM Ultra-high-dimensional Additive Partially Linear Models Xinyi Li, Iowa State University ; Li Wang, Iowa State University ; Dan Nettleton, Iowa State University
4:35 PM Additive Partially Linear Models for Massive Heterogeneous Data — Binhuan Wang, New York University School of Medicine ; Yixin Fang, New Jersey Institute of Technology ; Heng Lian, City University of Hong Kong ; Hua Liang , George Washington University
4:50 PM Finding needles in a haystack? Covariate Information for Feature Screening in Ultrahigh-Dimensional Data Debmalya Nandy, Penn State University ; Francesca Chiaromonte, Penn State University ; Runze Li, The Pennsylvania State University
5:05 PM Sparse Covariance Estimation via Concentration Inequalities Adam Kashlak, Univ of Cambridge ; Linglong Kong, University of Alberta
5:20 PM Finite Sample Breakdown Point for Sliced Inverse Regression Ulrike Genschel, Iowa State University
5:35 PM Multi-Resolution Functional ANOVA for Large-Scale, Many-Input Nonlinear Regression, Estimation, and Inference Chih-Li Sung, Georgia Institute of Technology ; Wenjia Wang, Georgia Institute of Technology ; Matthew Plumlee, University of Michigan ; Benjamin Haaland, Georgia Institute of Technology
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