Keyword Search
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
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Keyword Search Criteria: classification returned 89 record(s)
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Monday, 08/01/2016
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Classification of All-Rounders in Limited-Over Cricket
Ananda Manage; Danush Wijekularathna, Troy University
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Accelerometer Wear and Non-Wear Classification Using an Ensemble of Unsupervised Predictors
Madalina Fiterau Brostean, Stanford University; Manisha Desai, Stanford University; Jennifer Hicks, Stanford University; Thomas Robinson, Stanford University
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Predicting Human Driving Behavior to Help Driverless Vehicles Drive: Random Intercept Bayesian Additive Regression Trees
Yaoyuan Vincent Tan, University of Michigan; Carol A. C. Flannagan, University of Michigan Transport Research Institute; Michael Elliott, University of Michigan
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Bayesian Inference for Unidirectional Misclassification in Ordinal Covariates
Liangrui Sun; Chaoxiong Xia, Northern Illinois University; Yuanyuan Tang, Saint Luke's Health System; Shun Takai, Northern Illinois University
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Using the R Caret Package as a Teaching Tool for Topics in Classification and Prediction Methods: A Case Study
Keith Williams, University of Arkansas for Medical Sciences
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BART for Classification
Robert B. Gramacy, The University of Chicago
8:35 AM
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Mixtures of Regression Models for Large Spatial Data Sets
Amanda Hering, Colorado School of Mines; Karen Kazor, Colorado School of Mines; Laura Condon, Colorado School of Mines; Reed Maxwell, Colorado School of Mines
8:35 AM
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Multivariate Dimension-Reduction Methods for Microbiome Data Analysis
Kim-Anh Le Cao, University of Queensland
8:55 AM
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Classification of Multivariate EEG Records via $\Epsilon$-Complexity of Continuous Vector-Functions
Alexandra Piryatinska, San Francisco State University; Boris Darkhovsky, Institute for Systems Analysis; Nathanael Aff, San Francisco State University
9:05 AM
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Community State Types and Major Shifts in the Microbiome
James Brooks, Virginia Commonwealth University
9:35 AM
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Nuclear Penalized Multinomial Regression for Predicting At-Bat Outcomes in Baseball
Scott Powers; Trevor Hastie, Stanford University; Robert Tibshirani, Stanford University
9:35 AM
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Using the R Caret Package as a Teaching Tool for Topics in Classification and Prediction Methods: A Case Study
Keith Williams, University of Arkansas for Medical Sciences
9:55 AM
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Tree-Like Structure Classification Based on Distance Matrix LU Decomposition with Application to Galaxy Profile Data
Jianan Hui, University of California at Riverside; Xinping Cui, University of California at Riverside; James Flegal, University of California at Riverside; Miguel Aragon-Calvo, University of California at Riverside
10:05 AM
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Manly Transformation in Finite Mixture Modeling
Xuwen Zhu, University of Alabama; Volodymyr Melnykov, University of Alabama
10:35 AM
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Optimal Bayes Classifiers for Functional Data and Density Ratios
Xiongtao Dai, Healthy Birth, Growth and Development knowledge integration (HBGDki) Community; Hans-Georg Mueller, University of California at Davis; Fang Yao, University of Toronto
10:50 AM
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Predicting Human Driving Behavior to Help Driverless Vehicles Drive: Random Intercept Bayesian Additive Regression Trees
Yaoyuan Vincent Tan, University of Michigan; Carol A. C. Flannagan, University of Michigan Transport Research Institute; Michael Elliott, University of Michigan
10:55 AM
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Recent Developments in Benefit-Risk Evaluation for Diagnostic Tests
Gene Pennello, FDA/CDRH/OSB/DBS; Norberto Pantoja-Galicia, FDA/CDRH; Scott Evans, Harvard
11:25 AM
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Bayesian Inference for Unidirectional Misclassification in Ordinal Covariates
Liangrui Sun; Chaoxiong Xia, Northern Illinois University; Yuanyuan Tang, Saint Luke's Health System; Shun Takai, Northern Illinois University
11:30 AM
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A Bayesian Approach for Classification Based on Continuous Glucose Monitoring Data of Diabetic Patients
Hui Zheng, Harvard Medical School
11:35 AM
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Studying the Importance of Variables for Clustering
Volodymyr Melnykov, University of Alabama; Yana Melnykov, University of Alabama; Xuwen Zhu, University of Alabama
11:55 AM
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Multivariate Depth for Classification of Functional Data
Chong Ma, University of South Carolina; David Hitchcock, University of South Carolina
2:05 PM
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Data Representation and Pattern Recognition in Financial Time Series
Seunghye Jung Wilson, George Mason University; James E. Gentle, George Mason University
2:20 PM
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Large-Margin Classification with Multiple Decision Rules
Patrick Kimes, Roche Sequencing; Yufeng Liu, The University of North Carolina at Chapel Hill; J. S. Marron, The University of North Carolina at Chapel Hill; David Neil Hayes, The University of North Carolina at Chapel Hill
2:45 PM
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A Metric for the Optimal Length of a Sequence of Tests for Classification Tasks
Christine Schubert Kabban, Air Force Institute of Technology
2:50 PM
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Multivariate Pattern Analysis and Confounding in Neuroimaging
Kristin Linn, University of Pennsylvania; Bilwaj Gaonkar, University of California at Los Angeles; Jimit Doshi, University of Pennsylvania; Christos Davatzikos, University of Pennsylvania; Russell Shinohara, University of Pennsylvania
2:50 PM
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Nonparametric Estimation and Classification for Functional Data with Spatial Correlation
Yuan Wang, Washington State University; Brian Hobbs, MD Anderson Cancer Center; Kim-Anh Do, MD Anderson Cancer Center; Jianhua Hu, MD Anderson Cancer Center
3:20 PM
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An Integrative Classification Model for Multiple Sclerosis Lesion Detection in Multimodal MRI
Fengqing Zhang, Drexel University; Wenxin Jiang, Northwestern University; Ji-Ping Wang, Northwestern University
3:35 PM
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Tuesday, 08/02/2016
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Angle-Based Distance-Weighted Support Vector Machine in Multicategory Classification
Hui Sun, Purdue University; Bruce A. Craig, Purdue University; Lingsong Zhang, Purdue University
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Empirical Evaluation of Bayesian Network Classifiers
Weihua Shi, SAS Institute
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Multicategory Classification Using High-Dimensional Predictors with Applications to Studying Effects of Rice Genome
Arkaprava Roy, North Carolina State University; Subhashis Ghoshal, North Carolina State University
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Visualizing the Classification Model Produced by a Projection Pursuit Random Forest
Natalia Da Silva, Iowa State University; Dianne Cook, Monash University
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Predicting Binary Outcome with Unequal Misclassification Cost
Shuchismita Sarkar, University of Alabama; Michael D. Porter, University of Alabama
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A Classification Model for Detecting De Novo Mutation in Primary Amenorrhea Probands
Fuchen Liu, Carnegie Mellon University; Kathryn Roeder, Carnegie Mellon University; Bernie Devlin, University of Pittsburgh School of Medicine; Aleksandar Rajkovic, University of Pittsburgh
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Topological Tools for the Classification of Breast Cancer from Histology Images
Patrick Medina, Purdue University; Rebecca W. Doerge, Purdue University
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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
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Bayesian Approach to Sample Size Determination for Multilevel Logistic Regression Models with Misclassified Outcomes
Tyler Nelson, Baylor University
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Hypothesis Testing for Detecting Changes Within a Barabási-Albert Network
Fairul Mohd-Zaid, Air Force Research Lab; Christine Schubert Kabban, Air Force Institute of Technology; Edward White, Air Force Institute of Technology; Richard Deckro, Air Force Institute of Technology
8:35 AM
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Depth Functions and Classification Using Beta-Skeleton Graphs
Yu Song, The George Washington University
9:20 AM
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Surrogate Aided Unsupervised Recovery of Sparse Signals in Single Index Models for Binary Outcomes Using Extreme Sampling
Abhishek Chakrabortty, Harvard; Tianxi Cai, Harvard
9:50 AM
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Using Hierarchical Models to Understand P300-Wave--Based Brain-Computer Interface Performance Among Disabled Adults
Maryclare Griffin; Peter Hoff, University of Washington
10:05 AM
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Creating Listener Segments at Pandora
Sam Lendle, Pandora
10:35 AM
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Decoding Brain States from fMRI Data with a Machine Learning Method
Elizabeth Chou
10:35 AM
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Bayesian Spatial Model Selection Using Mixtures of G-Priors and Markov Random Field Priors for Identifying Gas Plumes in Hyperspectral Data
Nicole Mendoza, University of California at Santa Cruz; Abel Rodriguez, University of California at Santa Cruz
10:35 AM
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Classification and Regression Tree Modeling of Correlated Binary Outcomes
Jaime Speiser, Medical University of South Carolina; Valerie Durkalski-Mauldin, Medical University of South Carolina; Dongjun Chung, Medical University of South Carolina; Bethany Wolf, Medical University of South Carolina
10:50 AM
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Computationally Efficient Question Selection in Adaptive Questionnaires
John Riddles, George Mason University; James E. Gentle, George Mason University
10:50 AM
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Functional Nearest Neighbor Ensembles with Application to Water Quality Monitoring
Jan Gertheiss, Clausthal University of Technology; Karen Fuchs, Siemens AG
10:55 AM
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Hyperspectral Video Analysis Using Graph-Clustering Methods
Zhaoyi Meng
10:55 AM
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Designing Test Information and Test Information in Design
David Jones, Harvard; Xiao-Li Meng, Harvard
11:15 AM
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Functional Divergence-Based Classification for Single-Cell Data
Ollivier Hyrien, University of Rochester
11:15 AM
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An Approach to the Multivariate Two-Sample Problem Using Classification and Regression Trees and Minimum-Weight Spanning Subgraphs
David Ruth; Samuel Buttrey, Naval Postgraduate School; Lyn Whitaker, Naval Postgraduate School
11:20 AM
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Searching for Correlates of Protection for Ebola Vaccine
Jin Xu, Merck; Kenneth Liu, Merck; Ivan S. F. Chan, Merck
11:20 AM
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Another Look at Distance-Weighted Discrimination
Boxiang Wang, University of Minnesota; Hui Zou, University of Minnesota
11:55 AM
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Responsive Design: Side Effect Reduction of Prior Information on Survey Design
Abdellatif Demnati, Retired
2:05 PM
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Spatial Large-Margin Angle-Based Classifier for Multi-Category Neuroimaging Data
Leo Yu-Feng Liu, The University of North Carolina at Chapel Hill; Yufeng Liu, The University of North Carolina at Chapel Hill; Hongtu Zhu, The University of North Carolina at Chapel Hill
2:05 PM
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L-CC Classification and Variable Selection for Multi-Label Data Sets
Monika Stupalova du Toit, Stellenbosch University; Sarel Steel, Stellenbosch University
2:05 PM
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Multi-Class ROC Tree and Random Forest for Imbalanced Data Classification
Jiaju Yan, SUNY Stony Brook; Wei Zhu, SUNY Stony Brook; Bowen Song, Ocean University of China
2:20 PM
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A Cluster-Based Taxonomy of Bus Crashes in the United States
Dooti Roy, University of Connecticut; Ved Deshpande, University of Connecticut; Matthew Henry Linder, University of Connecticut
2:25 PM
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Extraction of Multiscale Shape Information from Multivariate Data with Application to Classification
Wolfgang Polonik, University of California at Davis; Gabriel Chandler, Pomona College
3:05 PM
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Nonparametric Classification Using a Forest Dependency Structure
Mary Frances Dorn, Texas A&M University; Clifford Spiegelman, Texas A&M University; Amit Moscovich, Weizmann Institute of Science; Boaz Nadler, Weizmann Institute of Science
3:05 PM
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Big Data Methods for Scraping Government Tax Revenue from the Web
Brian Dumbacher, U.S. Census Bureau; Cavan Capps, U.S. Census Bureau
3:35 PM
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Sample Design for Longitudinal Multiphase Samples with Misclassification
Andrea Piesse, Westat; Sharon Lohr, Westat
3:35 PM
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Wednesday, 08/03/2016
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Properties of Adaptive Clinical Trial Signature Design in the Presence of Gene and Gene-Treatment Interaction
Alexander Cambon, University of Louisville; Shesh N. Rai, University of Louisville; Guy Brock, University of Louisville
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Early Detection of Placement for Success in an Online Quantitative Class
Ping-Hung Hsieh, Oregon State University; Xiaohui Chang, Oregon State University; Andrew Olstad, Oregon State University
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Robust Bayesian Inference via Coarsening
Jeffrey Miller, Duke University; David Dunson, Duke University
8:55 AM
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Weighted Estimation in Confounded Binary Data Subject to Outcome Misclassification
Christopher A. Gravel, McGill University; Robert W. Platt, McGill University
9:35 AM
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Multi-Tuning Parameter Lasso for Sample Classification
Kimberly Siegmund, University of Southern California; Jie Liu, University of Southern California; Juan Pablo Lewinger, University of Southern California
10:35 AM
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A Permanental Approach in Predicting the Relapse Risk of Breast Cancer
Haipeng Liu, University of Illinois at Chicago; Jie Yang, University of Illinois at Chicago
10:50 AM
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Classification of Longitudinal Data Using P-Splines and Correlated Mixed-Effects Models Applied to Predict Pregnancy Outcomes
Cristian Meza, Universidad de Valparaiso; Ana Arribas-Gil, Universidad Carlos III de Madrid; Rolando De la Cruz, P. Universidad Católica de Valparaíso; Claudio Fuentes, Oregon State University
11:05 AM
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Classifying Dementia Based on Volumetric MRI
John Kornak, University of California at San Francisco
12:05 PM
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Covariance-Insured Screening Methods for Ultrahigh-Dimensional Variable Selection
Yi Li, University of Michigan; Ji Zhu, University of Michigan; Jiashun Jin, Carnegie Mellon University; Kevin He, University of Michigan; Yanming Li, University of Michigan
2:30 PM
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Hierarchical Classification Models for Functional Data
Abhirup Mallik; Snigdhansu Chatterjee, University of Minnesota - Twin Cities
2:35 PM
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Learning About Nonrespondents' Characteristics Using Standard Exploratory Data Analysis (EDA) Tools
MoonJung Cho, Bureau of Labor Statistics; Larry Lang, Bureau of Labor Statistics
3:20 PM
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Considerations for Analysis of Time-to-Event Outcomes Measured with Error
Eric Oh, University of Pennsylvania; Pamela A. Shaw, University of Pennsylvania
3:20 PM
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Thursday, 08/04/2016
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Visuanimation in Statistics
Marc Genton, KAUST; Stefano Castruccio, Newcastle University; Paola Crippa, Newcastle University; Subhajit Dutta, IIT Kanpur; Raphaël Huser, KAUST; Ying Sun, King Abdullah University of Science and Technology; Sabrina Vettori, KAUST
8:35 AM
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On Assessing the Difficulty of a Clustering Problem: The Introduction of Sensitivity and Specificity to Cluster Analysis
Jonathon O'Brien
8:35 AM
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Dynamic Functional Classification and Clustering
J. Richard Landis, University of Pennsylvania; Wensheng Guo, University of Pennsylvania Perelman School of Medicine; Xiaoling Hou, University of Pennsylvania
8:50 AM
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Application of Classification and Clustering Methods on MVoC (Medical Voice of Customer) Data for Scientific Engagement
Yingzi Xu, North Carolina State University; Jeffery Painter, GlaxoSmithKline
9:05 AM
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A Hidden Markov Model Approach to Analyzing Longitudinal Alzheimer's Disease Stages Subject to Possible Misclassification
Julia Benoit, University of Houston; Wenyaw Chan, The University of Texas Health Science Center at Houston; Linda Piller, The University of Texas Health Science Center at Houston; Rachelle S. Doody, Baylor College of Medicine
9:05 AM
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Classification of Multivariate Time Series Data with Applications to ECIS
Laura Tupper, Cornell University; David Matteson, Cornell University
9:35 AM
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A Bootstrap Procedure for Classification Problems Based on Features and Observations Resampling
Junhong Liu, The University of Hong Kong
9:50 AM
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Classification of Mixed Binary Outcomes Using Biomarker Information
Feng-Chang Lin, The University of North Carolina at Chapel Hill; Quefeng Li, The University of North Carolina at Chapel Hill
9:50 AM
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Multicategory Personalized Treatment Rule with Application to Diabetes Data Analysis
Xuanyao He, Eli Lilly and Company; Haoda Fu
10:55 AM
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Predicting Patient Cost Blooms: A Longitudinal Population-Based Study
Suzanne Tamang, Stanford University; Jean-Raymond Betterton, Stanford University; Lester Mackey, Stanford University; Lucas Jansen, Stanford University; Arnold Milstein, Stanford University; Henrik Sorensen, Aarhus University; Lars Pedersen, Aarhus University; Nigam Shah, Stanford University
11:35 AM
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High-Dimensional Matrix-Variate Linear Discriminant Analysis
Aaron Molstad, University of Minnesota; Adam Rothman, University of Minnesota
11:50 AM
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