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
378 Tue, 8/11/2015, 11:35 AM - 12:20 PM CC-4B
SPEED: Methods in Machine and Data Mining, Part 2 — Contributed Poster Presentations
Section for Statistical Programmers and Analysts , Section on Statistical Learning and Data Mining
Chair(s): Haim Bar, University of Connecticut
1: Innovated Interaction Screening for High-Dimensional Nonlinear Classification — Yinfei Kong ; Yingying Fan, University of Southern California ; Daoji Li, University of Southern California ; Zemin Zheng, University of Southern California
2: Functional Template Learning for Type Ia Supernova — Shiyuan He, Texas A&M University ; Jianhua Huang, Texas A&M University ; Lifan Wang, Texas A&M University
3: Sparse Generalized PCA for Selectable High-Dimensional Analysis — Qiaoya Zhang ; Yiyuan She, Florida State University ; M. Ross Kunz, Idaho National Laboratory
5: Mining of Differential Correlation — Kelly Nicole Bodwin, The University of North Carolina at Chapel Hill ; Andrew Nobel, The University of North Carolina at Chapel Hill ; Kai Zhang, The University of North Carolina at Chapel Hill
6: A Significance Test for Graph-Constrained Estimation — Sen Zhao, University of Washington ; Ali Shojaie, University of Washington
7: Analysis of Contour Data Using Shape Analysis Methods — Marepalli Rao, University of Cincinnati ; Qin Wang, University of Cincinnati ; Subramanyam Kasala, The University of North Carolina
8: Dynamic Stratification in Panels — Etienne Josserand, Nielsen ; William Waldron, Nielsen
9: A Computationally Enhanced Fuzzy Clustering Method for Big Biomedical Data — Chanpaul Jin Wang, University of Massachusetts Medical School ; Hua Fang, University of Massachusetts Medical School ; Honggang Wang, University of Massachusetts Dartmouth
10: Mediation-Based Integrative Genomic Analysis — Sheila Gaynor, Harvard University ; Xihong Lin, Harvard School of Public Health
11: Robust Adaptive Group WLAD-LASSO — Nedret Billor, Auburn University ; Kristin Lilly, Auburn University
12: A Compromise Between the Reduction of Collinearity Problems and Bias of Estimation in Ridge Regression: With the Perspective of Loss Function — Xiyuan Liu, The George Washington University
13: Cohesive Regression Over Networks — Tianxi Li, University of Michigan ; Elizaveta Levina, University of Michigan ; Ji Zhu, University of Michigan
14: Multisample Equal-Covariance Function Testing — Jia Guo, National University of Singapore ; Jin-Ting Zhang, National University of Singapore
15: Identification of Outliers for Periodic Multivariate Functional Data — Pallavi Sawant, Kansas State University
16: Binormal ROC and Precision-Recall Classification with Nonparametric Functions — Yingzi Xu, North Carolina State University ; Howard Bondell, North Carolina State University
17: Consistent Estimation of Dynamic and Multi-Layer Networks — Qiuyi Han, Harvard University ; Edo Airoldi, Harvard University ; Kevin Xu, Technicolor
18: Multiple Imputation in the Presence of High-Dimensional Data — Domonique Watson Hodge, Emory University ; Qi Long, Emory University
19: Data-Adaptive Shrinkage to Non-Null Target: Applications in Environmental Epidemiology — Yin-Hsiu Chen, University of Michigan
20: The Continuous Configuration Model and Community Detection for Weighted Networks — John Palowitch, The University of North Carolina at Chapel Hill ; Shankar Bhamidi, The University of North Carolina ; Andrew Nobel, The University of North Carolina at Chapel Hill




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