
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: regression tree returned 17 record(s)
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Monday, 08/01/2016
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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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Environmental Stressors, Health Outcomes, and Bayesian Regression Trees
Gregory Watson, University of California at Los Angeles; Donatello Telesca, University of California at Los Angeles
9:05 AM
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Bayesian Additive Regression Trees: Extensions and Embedding in Complex Models
Jared S. Murray, Carnegie Mellon University
9:50 AM
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Nonparametric Survival Analysis Using Bayesian Additive Regression Trees (BART)
Rodney Sparapani, Medical College of Wisconsin; Brent Logan, Medical College of Wisconsin; Robert McCulloch, The University of Chicago; Purushottam Laud, Medical College of Wisconsin
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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Bayesian Additive Regression Trees (BART) and Precision Medicine
Brent Logan, Medical College of Wisconsin; Rodney Sparapani, Medical College of Wisconsin; Robert McCulloch, The University of Chicago; Purushottam Laud, Medical College of Wisconsin
11:05 AM
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Sequential BART for Imputation of Missing Covariates
Dandan Xu, University of Florida; Michael Daniels, The University of Texas at Austin; Almut G. Winterstein, University of Florida
11:15 AM
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Tuesday, 08/02/2016
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Constructing Generalized Variance Functions with Linear Regression Trees
Greg Erkens, Bureau of Labor Statistics
9:35 AM
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Using Regression Trees to Model Characteristics of Nonresponse and Measurement Error in a Longitudinal Survey
Morgan Earp, Bureau of Labor Statistics; Daniell Toth, Bureau of Labor Statistics; Polly Phipps, Bureau of Labor Statistics; Charlotte Oslund, Bureau of Labor Statistics
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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Modeling Survey Data with Regression Trees
Daniell Toth, Bureau of Labor Statistics
10:55 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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Wednesday, 08/03/2016
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Finding the 'Best' Measurement of Body Weight Status Was Difficult with Missing Data
Liyun Zhang, Medical College of Wisconsin; Michele Polfuss, University of Wisconsin - Milwaukee; Kathleen J. Sawin, University of Wisconsin - Milwaukee; Pippa Simpson, Medical College of Wisconsin
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Doubly Robust Regression Trees Under Competing Risks
Youngjoo Cho, University of Rochester Medical Center; Robert Strawderman, University of Rochester Medical Center
9:35 AM
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Efficient Bayesian Posterior Sampling for Massive Data Sets
Reihaneh Entezari; Radu V. Craiu, University of Toronto; Jeffrey S. Rosenthal, University of Toronto
10:50 AM
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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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