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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

445 Tue, 8/2/2016, 2:00 PM - 3:50 PM CC-Hall F1 West
Contributed Poster Presentations: Section on Statistical Learning and Data Science — Contributed Poster Presentations
Section on Statistical Learning and Data Science , Section on Statistics in Imaging , International Chinese Statistical Association
Chair(s): Genevera Allen, Rice University
29: Angle-Based Distance-Weighted Support Vector Machine in Multicategory Classification Hui Sun, Purdue University ; Bruce A. Craig, Purdue University ; Lingsong Zhang, Purdue University
30: A New Distribution to Describe Big Data Yuanyuan Zhang, University of Manchester
32: Identification of Solids in Hyperspectral Images Using Spectral Features from Gaussian Basis Functions Cory Lanker, Lawrence Livermore National Laboratory ; Milton O. Smith, Lawrence Livermore National Laboratory
33: ZIP Codes and Neural Networks: Machine Learning for Handwritten Number Recognition Cuixian Chen, The University of North Carolina at Wilmington ; Taylor Harbold, The University of North Carolina at Wilmington ; Courtney Rasmussen, The University of North Carolina at Wilmington ; Michelle Page, The University of North Carolina at Wilmington
34: Constrained Canonical Covariance Analysis by Using Tucker2 Model Jun Tsuchida, Doshisha University ; Hiroshi Yadohisa, Doshisha University
35: Sparse Predictive Modeling for Bank Telemarketing Success Using Smooth-Threshold Estimating Equations Yoshinori Kawasaki, Institute of Statistical Mathematics ; Masao Ueki, Kurume University
37: Predicting Binary Outcome with Unequal Misclassification Cost Shuchismita Sarkar, University of Alabama ; Michael D. Porter, University of Alabama
39: Empirical Evaluation of Bayesian Network Classifiers Weihua Shi, SAS Institute
40: Employing Machine Learning Approaches in Social Scientific Analyses — Arne Bethmann, Institute for Employment Research ; Jonas Beste, Institute for Employment Research
41: A Multilocus Genetic Score for Physical Activity Lingyao Yang, Stanford University ; Haley Hedlin, Stanford University
42: Anomaly Detection in Time Series of Dependent Stochastic Block Model Graphs — Heng Wang, Machine Zone ; Albert Liu, Ward Melville High School ; Youngser Park, The Johns Hopkins University ; Carey Priebe, The Johns Hopkins University
43: Clustering for Personalized Preference Prediction Fan Yang, University of Minnesota - Twin Cities ; Xiaotong Shen, University of Minnesota
46: Divide and Recombine (DandR) with Tessera: High-Performance Computing for the Analysis of Big Data and High-Complexity Analytics Yuying Song, Purdue University ; Bowei Xi, Purdue University ; Ryan Hafen, Hafen Consulting ; William S. Cleveland, Purdue University
48: Understanding Grand Strategy: Text and Topic Analysis of Presidential Speeches Reagan Rose
49: AMON: An Open Source Architecture for Online Monitoring, Statistical Analysis, and Forensics of Multi-Gigabit Streams Shrijita Bhattacharya, University of Michigan ; Michael Khallitsis, Merit
50: Estimating Coefficients of Direction in Single Index Model for Large $P$ Small $N$ Problem Jin Xie, University of Kentucky ; Xiangrong Yin, University of Kentucky
51: C.Logic: An Algorithm to Classify Dichotomous Disease Outcomes Using Interactions Between Dichotomous and Continuous Predictors Sybil Prince Nelson
52: Hypothesis Testing and Prediction of the Self-Triggering Cox Model for Recurrent Event Data Jung In Kim ; Jason Fine, The University of North Carolina at Chapel Hill ; Feng-Chang Lin, The University of North Carolina at Chapel Hill
53: Regret Bounds for a Thompson Sampling Algorithm with Application to Emerging Infectious Disease Tao Hu, North Carolina State University ; Eric Laber, North Carolina State University
54: Group Discrimination Using Sparse Network Modeling of Resting-State fMRI Maria Puhl, University of Tulsa ; William Coberly, University of Tulsa ; Alejandro Hernandez, University of Tulsa ; Kyle Simmons, Laureate Institute for Brain Research
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