340
Tue, 7/30/2019,
10:30 AM -
12:20 PM
CC-501
SPEED: Bayesian Methods, Part 1 — Contributed Speed
Section on Bayesian Statistical Science , Section on Statistics in Defense and National Security
Chair(s): Chris Gotwalt, SAS Institute Inc.
Poster Presentations
for this session.
10:35 AM
Bayesian Spatially Clustered Coefficient Regression
Zhao Tang Luo, Texas A&M University ; Huiyan Sang, Texas A&M University; Bani Mallick, Texas A&M University
10:40 AM
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
10:45 AM
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
10:50 AM
A New Flexible Prior Being Local and Nonlocal for Bayesian Variable Selection
Liangliang Zhang, M.D. Anderson Cancer Center
10:55 AM
A Bayesian Two-Part Quantile Regression Model for Count Data with Excess Zeros
Clay King, Colorado Mesa University ; Joon Jin Song, Baylor University
11:00 AM
Nonparametric Density Estimation and Regression Using Coarse Count Data
Jacob Coleman
11:05 AM
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
11:10 AM
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
11:15 AM
An Objective Bayesian Multiple Testing for Correlated Binomial Proportions
Siva Sivaganesan, University of Cincinnati ; Emrah Gecili, Cincinnati Children's Hospital Medical Center
11:20 AM
Bayesian Model Selection Using Mass-Nonlocal Prior
Guiling Shi, Amgen
11:30 AM
The Use of Experimental Design and Bayesian Logistic Models in Defense Analysis: a Case Study
Keyla Pagan-Rivera
11:35 AM
Bayesian Model Selection and Averaging in the Presence of Latent Heteroscedasticity in Linear Models
Thomas Metzger, Virginia Tech ; Christopher Franck, Virginia Tech
11:40 AM
Predictive Density Estimation of Multivariate Skew-Normal Distribution
Othmane Kortbi, UAE University Al-Ain
11:45 AM
Bayesian Inference for Exponential Random Graph Models via Kernel Bayes Rule
Fan Yin, University of California, Irvine ; Carter Tribley Butts, University of California, Irvine
11:50 AM
Adaptive Variable Selection for Sequential Prediction in Multivariate Dynamic Models
Isaac Lavine, Duke University ; Michael Lindon, Tesla; Mike West, Duke University
11:55 AM
Bayesian Quantile Regression Applied to Time Between Healthcare-Associated Infection Events
Jonathan Edwards, Center for Disease Control & Prevention
12:00 PM
A Distributed MCMC Sampler for Latent Dirichlet Allocation
Kelson Zawack, Yale University ; Hongyu Zhao, Yale
12:05 PM
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
12:10 PM
A New Bayesian Person-Fit Analysis Method for Item Response Theory Models Using Pivotal Discrepancy Measures
Adam Combs, Robert Morris University
12:15 PM
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
