Online Program Home
  My Program
CC = Baltimore Convention Center,    H = Hilton Baltimore
* = applied session       ! = JSM meeting theme

Activity Details

111 * ! Mon, 7/31/2017, 8:30 AM - 10:20 AM CC-312
New Dimension Reduction and Statistical Learning Methods for Biomedical Data — Topic Contributed Papers
Biometrics Section , Section on Statistical Learning and Data Science
Organizer(s): Shanshan Ding, University of Delaware
Chair(s): Shanshan Ding, University of Delaware
8:35 AM Longitudinally Measured Predictors: Approaches for Sufficient Dimension Reduction Efstathia Bura, TU Wien ; Liliana Forzani, Universidad Nacional del Litoral ; Ruth Pfeiffer , National Cancer Institute, NIH, HHS
8:55 AM On Reject and Refine Options in Multicategory Classification — Chong Zhang, Seattle, Washington ; Wenbo Wang, Binghamton University ; Xingye Qiao, Binghamton University
9:15 AM Structured Mixture of linear mappings in high dimension Florence Forbes, French Institute for Research in Computer Science and Automation (INRIA) ; Chun-Chen Tu, Universilty of Michigan ; Naisyin Wang, Universilty of Michigan ; Benjamin Lemasson, INSERM, Univ. Grenoble Alpes
9:35 AM Sparse Minimum Discrepancy Approach to Sufficient Dimension Reduction with Simultaneous Variable Selection in Ultrahigh Dimension Wei Qian, Rochester Institute of Technology ; Shanshan Ding, University of Delaware ; Dennis Cook, University of Minnesota
9:55 AM Floor Discussion
Copyright © American Statistical Association