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CC = Colorado Convention Center   H = Hyatt Regency Denver at Colorado Convention Center
* = applied session       ! = JSM meeting theme

Activity Details

427 Tue, 7/30/2019, 3:05 PM - 3:50 PM CC-Hall C
SPEED: Bayesian Methods, Part 2 — Contributed Poster Presentations
Section on Bayesian Statistical Science
Chair(s): Wendy Meiring, University of California At Santa Barbara
Oral Presentations for this session.
20: Bayesian Spatially Clustered Coefficient Regression
Zhao Tang Luo, Texas A&M University; Huiyan Sang, Texas A&M University; Bani Mallick, Texas A&M University
21: 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
22: 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
23: A New Flexible Prior Being Local and Nonlocal for Bayesian Variable Selection
Liangliang Zhang, M.D. Anderson Cancer Center
24: A Bayesian Two-Part Quantile Regression Model for Count Data with Excess Zeros
Clay King, Colorado Mesa University; Joon Jin Song, Baylor University
25: Nonparametric Density Estimation and Regression Using Coarse Count Data
Jacob Coleman
26: 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
27: 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
28: An Objective Bayesian Multiple Testing for Correlated Binomial Proportions
Siva Sivaganesan, University of Cincinnati; Emrah Gecili, Cincinnati Children's Hospital Medical Center
29: Bayesian Model Selection Using Mass-Nonlocal Prior
Guiling Shi, Amgen
30: The Use of Experimental Design and Bayesian Logistic Models in Defense Analysis: a Case Study
Keyla Pagan-Rivera
31: Bayesian Model Selection and Averaging in the Presence of Latent Heteroscedasticity in Linear Models
Thomas Metzger, Virginia Tech; Christopher Franck, Virginia Tech
32: Predictive Density Estimation of Multivariate Skew-Normal Distribution
Othmane Kortbi, UAE University Al-Ain
33: Bayesian Inference for Exponential Random Graph Models via Kernel Bayes Rule
Fan Yin, University of California, Irvine; Carter Tribley Butts, University of California, Irvine
34: Adaptive Variable Selection for Sequential Prediction in Multivariate Dynamic Models
Isaac Lavine, Duke University; Michael Lindon, Tesla; Mike West, Duke University
35: Bayesian Quantile Regression Applied to Time Between Healthcare-Associated Infection Events
Jonathan Edwards, Center for Disease Control & Prevention
36: A Distributed MCMC Sampler for Latent Dirichlet Allocation
Kelson Zawack, Yale University; Hongyu Zhao, Yale
37: 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
38: A New Bayesian Person-Fit Analysis Method for Item Response Theory Models Using Pivotal Discrepancy Measures
Adam Combs, Robert Morris University
39: 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