Sessions Were Renumbered as of May 19.
Legend:
CC-W = McCormick Place Convention Center, West Building,
CC-N = McCormick Place Convention Center, North Building
H = Hilton Chicago,
UC = Conference Chicago at University Center
* = applied session ! = JSM meeting theme
36
Sun, 7/31/2016,
2:00 PM -
3:50 PM
CC-W176a
Sufficient Dimension Reduction and Projection Methods — Contributed Papers
Section on Statistical Learning and Data Science , International Chinese Statistical Association
Chair(s): Glen Wright Colopy, University of Oxford
2:05 PM
Selective Combinations of Central Matrices for Dimension Reduction
—
Son Nguyen
2:20 PM
On Sufficient Dimension Reduction for Functional Data
—
Jun Song, Penn State University ; Bing Li, Penn State University
2:35 PM
Determining the Number of Components in a Generalized Spiked Population Model
—
Hyo Young Choi
2:50 PM
On Likelihood Ratio Tests in Dimensionality-Restricted Models
—
Mingyue Gao ; Michael Trosset, Indiana University ; Carey Priebe, The Johns Hopkins University
3:05 PM
Partial Projective Resampling Method for Dimension Reduction: With Applications to Partially Linear Models
—
Haileab Hilafu, University of Tennessee ; Wenbo Wu, University of Oregon
3:20 PM
On Estimating Regression-Based Causal Effects Using Sufficient Dimension Reduction
—
Wei Luo, Baruch College
3:35 PM
Supervised Dimensionality Reduction for Exponential Family Data
—
Andrew Landgraf, Battelle ; Yoonkyung Lee, The Ohio State University
