Legend:
CC = Vancouver Convention Centre
F = Fairmont Waterfront Vancouver
* = applied session ! = JSM meeting theme
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260
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Mon, 7/30/2018,
3:05 PM -
3:50 PM
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CC-West Hall B
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SPEED: Topics in Bayesian Analysis — Contributed Poster Presentations
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Section on Bayesian Statistical Science, Section on Statistical Computing
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Chair(s): Paul McNicholas, McMaster University
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Oral Presentations
for this session.
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21:
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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
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22:
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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
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23:
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Using Modified Competitive Swarm Optimizer to Find D-Optimal Designs for Complicated Logistic Models
Zizhao Zhang, UCLA; Weng Kee Wong, UCLA
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24:
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Uncertainty in the Design Stage of Two-Stage Bayesian Propensity Score Analysis
Shirley Liao
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25:
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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
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26:
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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
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27:
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Pseudo-Marginal Markov Chain Monte Carlo via Random Riemann Sums for Stochastically Scaled Gaussian Vectors
Patrick Muchmore
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28:
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A Bayesian Model Selection Approach to Multiple Comparisons
Javier E. Flores, University of Iowa; Andrew Neath, SIU Edwardsville; Joseph Cavanaugh, University of Iowa
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30:
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Melded Bayesian Inference for Stochastic Theoretical Models with Applications in Agent Based Modeling
Mark Dawkins
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32:
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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
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33:
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Bayesian Modular and Multiscale Regression
Michele Peruzzi; David B Dunson, Duke University
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34:
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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
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35:
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Combining Predictive Mean Matching with the Penalized Spline of Propensity Prediction Method When Performing Multiple Imputation
Jay Xu; Roee Gutman, Brown University
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36:
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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
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37:
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Bayesian Model Selection for Markov Chains Using Sparse Probability Vectors
Matthew Heiner, UC Santa Cruz; Athanasios Kottas, UC Santa Cruz; Stephan Munch, NOAA
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38:
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A Combinatoric Search for Clustered Levels in Categorical Predictors via Bayesian Model Selection
Thomas Metzger, Virginia Tech; Christopher Franck, Virginia Tech
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39:
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Uncertainty in Probabilistic Weighted Multidimensional Scaling
Lata Kodali; Leanna House, Virginia Tech
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