Legend:
CC = Baltimore Convention Center,
H = Hilton Baltimore
* = applied session ! = JSM meeting theme
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
