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
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
