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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

Activity Details

171 Mon, 8/1/2016, 10:30 AM - 12:20 PM CC-W183b
SPEED: Bayesian Analysis — Contributed Speed
Section on Bayesian Statistical Science , Section on Statistics in Imaging
Chair(s): Michael D. Swartz, The University of Texas Health Science Center at Houston
The Poster portions will take place during Session 213209 and Session 213210
10:35 AM Bayesian Aggregation of Rank Data with Covariates — Dingdong Yi, Harvard ; Xinran Li, Harvard ; Jun S. Liu, Harvard
10:40 AM A Bayesian Approach to Evaluating and Prioritizing Pathway Association with Disease — Shu-Ju Lin, National Taiwan University ; Chuhsing Kate Hsiao, National Taiwan University
10:45 AM Multivariate Left-Censored Bayesian Model for Predicting Exposure Using Multiple Chemical Predictors During the Deepwater Horizon Oil Spill Clean-Up — Caroline Groth, University of Minnesota ; Sudipto Banerjee, University of California at Los Angeles ; Gurumurthy Ramachandran, University of Minnesota ; Mark R. Stenzel, Exposure Assessment Applications ; Dale P. Sandler, National Institute of Environmental Health Sciences ; Aaron Blair, National Cancer Institute ; Lawrence S. Engel, The University of North Carolina at Chapel Hill ; Richard R. Kwok, National Institute of Environmental Health Sciences ; Patricia P. Stewart, Stewart Exposure Assessments
10:50 AM Univariate and Joint Spatio-Temporal Models for Predicting the Occurrence of Culicoides Across Belgium — Yimer Wasihun Kifle, Hasselt University ; Christel Faes, Hasselt University ; Niel Hens, Hasselt University
10:55 AM 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
11:00 AM Bayesian Model with Continuous Shrinkage Prior in Agricultural Health Study — Ran Wei, North Carolina State University ; Subhashis Ghoshal, North Carolina State University ; Brian J. Reich, North Carolina State University ; Jane Hoppin, North Carolina State University
11:05 AM Identification of Genetic Effects on Abnormalities of Cardiac Structure and Function Using Bayesian Hierarchical Model — Akram Yazdani, The University of Texas Health Science Center at Houston ; Azam Yazdani ; Luca Sartore, National Institute of Statistical Sciences ; Eric Boerwinkle, The University of Texas Health Science Center at Houston
11:10 AM Prediction with Confidence: A General Framework for Prediction — Jieli Shen, Rutgers University ; Regina Liu, Rutgers University ; Minge Xie, Rutgers University
11:15 AM Bayesian Analysis for Survey Data with Margin of Error — Yi Mu, CDC
11:20 AM Convergence Diagnostic for MCMC Draws of a Categorical Variable — Benjamin Deonovic, University of Iowa
11:30 AM 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
11:35 AM Bayesian Approach for Proof of Concept and Dose-Finding Under Model Uncertainty for Binary Response — Yuanyuan Tang, Saint Luke's Health System ; Chunyan Cai, The University of Texas at Houston ; Jianghua He, University of Kansas Medical Center ; Liangrui Sun
11:40 AM Dependent Latent Effects Modeling for Survey Estimation with Application to the Current Employment Statistics Survey — Julie Gershunskaya, Bureau of Labor Statistics ; Terrance Savitsky, Bureau of Labor Statistics
11:45 AM Large-Scale MCMC Using GPU with Application in Brain Imaging — Yang Yang, University of Minnesota ; Galin Jones, University of Minnesota - Twin Cities
11:50 AM Rolling Dose Escalation with Overdose Control: An Efficient and Safe Phase 1 Design — Jiawen Zhu, RICNY ; Daniel Sabanés Bové, F. Hoffmann-La Roche ; Ulrich Beyer, F. Hoffmann-La Roche
11:55 AM Clustering Mutations and Estimating Contamination Rates via Bayesian Nonparametrics — Putu Ayu Sudyanti, Purdue University ; Vinayak Rao, Purdue University ; Hyonho Chun, Purdue University
12:00 PM Identifying Risk Factors for Smoking Cessation and Relapse with EMA Data: A Deterministic Bayesian Variable Selection Approach for Multistate Models — Matthew Koslovsky
 
 
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