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Sessions Were Renumbered as of May 19.

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

Activity Details

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
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