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427
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Tue, 7/30/2019,
3:05 PM -
3:50 PM
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CC-Hall C
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SPEED: Bayesian Methods, Part 2 — Contributed Poster Presentations
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Section on Bayesian Statistical Science
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Chair(s): Wendy Meiring, University of California At Santa Barbara
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Oral Presentations
for this session.
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20:
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Bayesian Spatially Clustered Coefficient Regression
Zhao Tang Luo, Texas A&M University; Huiyan Sang, Texas A&M University; Bani Mallick, Texas A&M University
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21:
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Spatial Cox Model with Applications on Multiple Sclerosis Patients
HSIUCHING CHANG, IQVIA; Hyokoung Grace Hong, Michigan State Universtiy; Yu Yue, The City University of New York
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22:
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Variational Inference for Latent Space Models for Dynamic Networks
Yan Liu, University of Illinois at Urbana-Champaign; Yuguo Chen, University of Illinois at Urbana-Champaign
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23:
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A New Flexible Prior Being Local and Nonlocal for Bayesian Variable Selection
Liangliang Zhang, M.D. Anderson Cancer Center
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24:
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A Bayesian Two-Part Quantile Regression Model for Count Data with Excess Zeros
Clay King, Colorado Mesa University; Joon Jin Song, Baylor University
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25:
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Nonparametric Density Estimation and Regression Using Coarse Count Data
Jacob Coleman
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26:
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Revisiting the Proton-Radius Problem Using Constrained Gaussian Processes
Shuang Zhou, Texas A&M University; Pablo Giulani, Florida State University; Jorge Piekarewicz, Florida State University; Anirban Bhattacharya, TAMU; Debdeep Pati, Texas A&M University
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27:
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An Investigation into How Model Uncertainty Is Reflected Through the Posterior Variance for Partial Regression Coefficients
Katharine Banner, Montana State University; Megan Higgs, Montana State University
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28:
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An Objective Bayesian Multiple Testing for Correlated Binomial Proportions
Siva Sivaganesan, University of Cincinnati; Emrah Gecili, Cincinnati Children's Hospital Medical Center
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29:
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Bayesian Model Selection Using Mass-Nonlocal Prior
Guiling Shi, Amgen
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30:
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The Use of Experimental Design and Bayesian Logistic Models in Defense Analysis: a Case Study
Keyla Pagan-Rivera
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31:
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Bayesian Model Selection and Averaging in the Presence of Latent Heteroscedasticity in Linear Models
Thomas Metzger, Virginia Tech; Christopher Franck, Virginia Tech
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32:
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Predictive Density Estimation of Multivariate Skew-Normal Distribution
Othmane Kortbi, UAE University Al-Ain
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33:
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Bayesian Inference for Exponential Random Graph Models via Kernel Bayes Rule
Fan Yin, University of California, Irvine; Carter Tribley Butts, University of California, Irvine
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34:
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Adaptive Variable Selection for Sequential Prediction in Multivariate Dynamic Models
Isaac Lavine, Duke University; Michael Lindon, Tesla; Mike West, Duke University
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35:
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Bayesian Quantile Regression Applied to Time Between Healthcare-Associated Infection Events
Jonathan Edwards, Center for Disease Control & Prevention
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36:
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A Distributed MCMC Sampler for Latent Dirichlet Allocation
Kelson Zawack, Yale University; Hongyu Zhao, Yale
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37:
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High-Dimensional Posterior Consistency in Mixed Frequency Bayesian Vector Autoregressive Models
Nilanjana Chakraborty, University of Florida; George Michailidis, University of Florida; Kshitij Khare, University of Florida
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38:
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A New Bayesian Person-Fit Analysis Method for Item Response Theory Models Using Pivotal Discrepancy Measures
Adam Combs, Robert Morris University
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39:
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Ordinal Probit Functional Regression Models with Application to Computer-Use Behavior in Rhesus Monkeys
Mark Meyer, Georgetown University; Jeffrey S. Morris, M.D. Anderson Cancer Center; Regina Paxton Gazes, Bucknell University; Robert R. Hampton, Emory University and Yerkes National Primate Research Center; Brent A. Coull, Harvard T. H. Chan School of Public Health
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