Legend:
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
