360
Wed, 8/5/2020,
10:00 AM -
2:00 PM
Virtual
Contributed Poster Presentations: Section on Bayesian Statistical Science — Contributed Poster Presentations
Section on Bayesian Statistical Science
1:
Bayesian Model Selection for Latent Group-Based Regression Effects and Heteroscedasticity in Linear Models with the R Package Slgf
Thomas Metzger, The Ohio State University ; Christopher Franck, Virginia Tech
2:
An Adaptive Design for Variable Selection in Bayesian Modeling
Qingzhao Yu ; Bin Li, Louisiana State University
3:
A Comparison of Prior Elicitation Aggregation Using the Classical Method and SHELF
Cameron Williams, Newcastle University
4:
Power Prior Distribution for Bayesian Record Linkage
Frank DeVone, Brown University
5:
Analysis of Ongoing Intervention Adaptations: The Intersection of Platform Trials, Causal Inference, and Bayesian Techniques
Teresa Dianne Bufford, UCLA Department of Biostatistics, Semel Institute for Neuroscience & Human Behavior ; Hilary Aralis, UCLA Department of Biostatistics, Semel Institute for Neuroscience & Human Behavior; Catherine Crespi, UCLA Department of Biostatistics, Jonsson Comprehensive Cancer Center
6:
The Cauchy-Net Mixture Model for Clustering with Anomalous Data
Matt Slifko, High Point University ; Scotland Leman, Virginia Tech; David Bieri, Virginia Tech
7:
Bayesian Model of Polygonal Chain for Landmark Point Detection
Cong Zhang, University of Texas at Dallas ; Min Chen, University of Texas at Dallas; Kelli Palmer, University of Texas at Dallas; Michael Zhang, University of Texas at Dallas; Qiwei Li, The University of Texas at Dallas
8:
Evaluating a Novel Hierarchical Bayesian Method for Noninvasively Estimating the Effects of Exposures on Proximal and Distal Airway Inflammation
Jingying Weng, University of Southern California, Department of Preventive Medicine,Biostatistic Division ; Noa Molshatski, University of Southern California; Paul Marjoram, University of Southern California; William James Gauderman, University of Southern California; Frank D Gilliland, University of Southern California; Sandrah Proctor Eckel, University of Southern California
9:
A Bayesian Estimation of Occurrence of Chronic Kidney Disease Using Urinalysis Test Data in Lagos, Nigeria
Obafemi Adegoke Keshinro, University of Lagos, Nigeria
10:
Mapping Land Reflectance with Bayesian Dynamic Models
Ryan Frost
11:
Bayesian Estimates of Low Birth Weight Risk by U.S. County
Pallavi Dwivedi, University of Maryland College Park ; Quynh Nguyen, University of Maryland College Park
12:
Accelerated Life Testing: A Bayesian Eyring-Log-Normal Model
Neill Smit, North-West University ; Lizanne Raubenheimer, North-West University
13:
A Bayesian Approach to Adjust for Misclassification of Bivariate Areal Count Data with Spatial Autocorrelation
Jinjie Chen, Baylor University ; James Stamey, Department of Statistical Science, Baylor University; Joon Jin Song, Baylor University
14:
Comparative Effectiveness Research Using Bayesian Adaptive Designs for Rare Diseases: Response Adaptive Randomization Reusing Participants
Fengming Tang, KUMC ; Byron J Gajewski, KUMC
15:
On Robust Pseudo-Bayes Estimation for the Independent Non-Homogeneous Set-Up
Tuhin Majumder, North Carolina State University
16:
Assessing Tests Post Hoc: A Decision-Theoretic Approach
Chloe Krakauer, University of Washington ; Kenneth Rice, University of Washington
18:
Bayesian Hierarchical Regression for Non-Overlapping Spatial Surfaces
Youngsoo Baek, Duke University Statistical Science ; Samuel Berchuck, Duke University Statistical Science; Sayan Mukherjee, Duke University; Felipe Medeiros, Duke Ophthalmology
19:
A Modern Approach to Bayesian Multilevel Modeling of the Psychometric Function
Alexander Knudson, University of Nevada ; Alfred Schissler, University of Nevada; Alexandra Scurry, University of Nevada; Fang Jiang, University of Nevada
20:
A Nested Clustering Method to Detect and Cluster Transgenerational DNA Methylation Sites via Beta Regressions
Jiajing Wang, University of Memphis ; Hongmei Zhang, University of Memphis; Shengtong Han, University of Wisconsin, Milwaukee
21:
Nearest Neighbor Dirichlet Process
Shounak Chattopadhyay, Duke University ; Antik Chakraborty, Duke University; David Dunson, Duke University
22:
Geometric Ergodicity for Hybrid Samplers in Functional Estimation via Gaussian Markov Random Fields
Yiyang Lin, The Ohio State University, Department of Statistics ; Radu Herbei, The Ohio State University
23:
Bayesian Propensity Score Analysis for Multiple Correlated Binary Outcomes
Shannon Marie Ciccarello, Baylor University ; Joon Jin Song, Baylor University
24:
Bayesian Adjustment for Misclassification Bias
Divya Lakshminarayanan, GlaxoSmithKline ; James Stamey, Department of Statistical Science, Baylor University
25:
Bayesian Neuroimaging Feature Selection for Characterizing Alzheimer's Disease
Daniel Baer, Medical University of South Carolina ; Andrew Lawson, Medical University of South Carolina
26:
On the Bayesian Non-crossing Joint Quantile Regression based on Asymmetric Laplace Likelihood with Sandwich Covariance Matrix
Changwoo Lee, Texas A& M University
27:
On the Bayesian Multiple Index Additive Models
Zhengkang Liang, Temple University ; Zhigen Zhao, Temple University
28:
District Level Incidence of Breast Cancer in Portugal: A Spatial Age-Period-Cohort Analysis, 1998 - 2011
Joseph Froelicher, University of Wyoming ; Pavel Chernyavskiy, University of Wyoming
29:
Comparison Between Variational and MCMC Bayesian Neural Network
Zihuan Liu, Michigan State University ; Shrijita Bhattacharya, Michigan state university ; Tapabrata (Taps) Maiti, Michigan State University
31:
Causal Inference in Observational Studies with a Post-Treatment Variable Using Bayesian Inference
Li He ; Yu-Bo Wang, Clemson University; William Bridges, Clemson University
32:
A Comparison of Bayesian, Frequentist and Fiducial Intervals for the Difference Between Two Binomial Proportions
Lizanne Raubenheimer, North-West University
