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CC = Vancouver Convention Centre   F = Fairmont Waterfront Vancouver
* = applied session       ! = JSM meeting theme

Activity Details

260 Mon, 7/30/2018, 3:05 PM - 3:50 PM CC-West Hall B
SPEED: Topics in Bayesian Analysis — Contributed Poster Presentations
Section on Bayesian Statistical Science, Section on Statistical Computing
Chair(s): Paul McNicholas, McMaster University
Oral Presentations for this session.
21: Variable Selection with Missing Data Imputation in the High-Dimensional Setting
Soeun Kim, The University of Texas Health Science Center at Houston; Yunxi Zhang, The University of Texas Health Science Center at Houston
22: Geometric Sensitivity Measures for Nonparametric Bayesian Models in Density Estimation
Abhijoy Saha, The Ohio State University; Sebastian Kurtek, The Ohio State University; Karthik Bharath, The University of Nottingham
23: Using Modified Competitive Swarm Optimizer to Find D-Optimal Designs for Complicated Logistic Models
Zizhao Zhang, UCLA; Weng Kee Wong, UCLA
24: Uncertainty in the Design Stage of Two-Stage Bayesian Propensity Score Analysis
Shirley Liao
25: A Theoretical Framework for Bayesian Nonparametric Regression: Orthonormal Random Series and Rates of Contraction
Fangzheng Xie, Johns Hopkins University; Wei Jin, Johns Hopkins University; Yanxun Xu, Johns Hopkins University
26: A Bayesian Semiparametric Joint Model for Longitudinal and Survival Data
Pengpeng Wang, Florida State University; Jonathan R. Bradley, Florida State University; Elizabeth H. Slate, Florida State University
27: Pseudo-Marginal Markov Chain Monte Carlo via Random Riemann Sums for Stochastically Scaled Gaussian Vectors
Patrick Muchmore
28: A Bayesian Model Selection Approach to Multiple Comparisons
Javier E. Flores, University of Iowa; Andrew Neath, SIU Edwardsville; Joseph Cavanaugh, University of Iowa
30: Melded Bayesian Inference for Stochastic Theoretical Models with Applications in Agent Based Modeling
Mark Dawkins
32: Bayesian Cumulative Probability Models for Continuous Response Variables
Nathan Thomas James, Vanderbilt University; Frank Harrell, Vanderbilt University, Dept of Biostatistics; Bryan E Shepherd, Vanderbilt University School of Medicine
33: Bayesian Modular and Multiscale Regression
Michele Peruzzi; David B Dunson, Duke University
34: Bayesian Forecasting and Dynamic Modeling of Physical Processes in Industrial Hygiene
Nada Abdalla, UCLA; Sudipto Banerjee, UCLA School of Public Health; Gurumurthy Ramachandran, John Hopkins University; Susan Arnold, University of Minnesota
35: Combining Predictive Mean Matching with the Penalized Spline of Propensity Prediction Method When Performing Multiple Imputation
Jay Xu; Roee Gutman, Brown University
36: Dose Finding Methods Using Two Endpoints in Early Clinical Studies
Kyounghwa Bae, Janssen Research & Development, LLC; Zhentao Tong, North Carolina State University ; Vladimir Dragalin, Janssen R&D
37: Bayesian Model Selection for Markov Chains Using Sparse Probability Vectors
Matthew Heiner, UC Santa Cruz; Athanasios Kottas, UC Santa Cruz; Stephan Munch, NOAA
38: A Combinatoric Search for Clustered Levels in Categorical Predictors via Bayesian Model Selection
Thomas Metzger, Virginia Tech; Christopher Franck, Virginia Tech
39: Uncertainty in Probabilistic Weighted Multidimensional Scaling
Lata Kodali; Leanna House, Virginia Tech