JSM 2015 Preliminary Program

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Legend: Washington State Convention Center = CC, Sheraton Seattle = S, Grand Hyatt = GH and The Conference Center = TCC
* = applied session       ! = JSM meeting theme

Activity Details
607 Wed, 8/12/2015, 2:00 PM - 3:50 PM CC-210
Nonparametric Methods for Big Data, Empirical Likelihood, and Additive Model — Contributed Papers
Section on Nonparametric Statistics
Chair(s): Li-Shan Huang, National Tsing Hua University
2:05 PM Additive Partially Linear Quantile Regression in Ultra-High Dimension — Ben Sherwood, The Johns Hopkins University ; Lan Wang, University of Minnesota
2:20 PM Confidence Regions for Level Differences in Growth Curve Models: Low- and High-Dimensional Under Non-Normality — Solomon Harrar, University of Kentucky ; Jin Xu, East China Normal University
2:35 PM Scalable Bayesian Nonparametric Learning for High-Dimensional Lung Cancer Genomics Data — Subharup Guha, University of Missouri ; Veera Baladandayuthapani, MD Anderson Cancer Center ; Chiyu Gu, University of Missouri
2:50 PM Improving Efficiency in Structural Equation Modeling by an Easy Empirical Likelihood Approach — Hanxiang Peng, Indiana University Purdue University Indianapolis ; Shan Wang, Indiana University Purdue University Indianapolis
3:05 PM Oracally Efficient Estimation of Vector Nonlinear Additive Autoregressive Models — Joshua Patrick ; Jiaming Xie, UC Davis
3:20 PM Permutation-Based Maximum Covariance Analysis (PMCA) — Robyn L. Ball, The Jackson Laboratory ; Yasuhiro Fujiwara, The Jackson Laboratory ; Fengyun Sun, The Jackson Laboratory ; Jianjun Hu, The Jackson Laboratory ; Mary Ann Handel, The Jackson Laboratory ; Gregory W. Carter, The Jackson Laboratory
3:35 PM Floor Discussion




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