254
Mon, 7/29/2019,
2:00 PM -
3:50 PM
CC-Hall C
Contributed Poster Presentations: Section on Bayesian Statistical Science — Contributed Poster Presentations
Section on Bayesian Statistical Science
Chair(s): Wendy Meiring, University of California At Santa Barbara
4:
Maize Yield Determinants and Management Strategies
Han Wang, Michigan State University
5:
Fast Bayesian Variable Selection and FDR Control
Su Chen, The University of Texas At Austin ; Stephen Walker, The University of Texas at Austin
6:
Confusion for Good: Expanding the Bayesian Logistic Meta-Analysis from Odds Ratios to the Confusion Matrix
Thomas Gibson, UCLA
7:
Bayesian Agnostic Multiple-Hypotheses Test with Decision-Errors Control
Marcio Augusto Diniz, Cedars Sinai Medical Center ; Melaine Oliveira Couch, Florida State University; Zahra Razaee, Cedars-Sinai Medical Center; Andre Rogatko, Cedars-Sinai Medical Center
8:
Mapping Land Reflectance with Bayesian Dynamic Linear Models
Ryan Frost, Boston University
9:
Bayesian Ordinal Quantile Regression with a Partially Collapsed Gibbs Sampler
Isabella Grabski, Harvard University ; Roberta De Vito, Princeton University; Barbara Engelhardt, Princeton University
10:
A Bayesian Method to Identifying CpG Sites Exhibiting Transgenerational Effects on DNA Methylation and Their Heterogeneity via Nested Clustering in Beta Regression
JIAJING WANG, University of memphis ; Hongmei Zhang, University of Memphis; John Holloway, University of Southampton; S. Hasan Arshad, University of Southampton; Wilfried JJ Karmaus, University of Memphis
11:
New Development of Bayesian Inconsistency Detection for Network Meta-Analysis
Cheng Zhang, University of Connecticut ; Ming-Hui Chen, University of Connecticut; Joseph G Ibrahim, UNC; Sungduk Kim, NIH; Jianxin Lin, Merck, Inc.; Arvind Shah, Merck, Inc.; Hao Li, Boehringer Ingelheim
12:
Inverse Stable Prior for Rate, Inverse Scale, and Inverse Variance Parameters
Dexter Cahoy, University of Houston-Downtown and University of Maryland ; Joseph Sedransk, Univ of Maryland
13:
Bayesian Sparse Multivariate Regression with Asymmetric Nonlocal Priors for Microbiome Data Analysis
Kurtis Shuler, UCSC ; Juhee Lee, University of California, Santa Cruz; Marilou Sison-Mangus, UCSC
14:
Sparse Priors for Orthogonal Matrices
Michael Jauch, Duke University ; Peter Hoff, Duke University; David Dunson, Duke University
15:
Bayesian Quantile Envelope Model
Minji Lee, University of Florida ; Saptarshi Chakraborty, Memorial Sloan Kettering Cancer Center; Zhihua Su, University of Florida
16:
A Bayesian Method for Locating Breakpoints in Time Series
Jeffrey Liebner
17:
Stein Neural Sampler
Tianyang Hu, Purdue Statistics ; Zixiang Chen, Tsinghua Statistics; Hanxi Sun, Purdue Statistics; Jincheng Bai, Purdue Statistics; Mao Ye, Purdue Statistics; Guang Cheng, Purdue Statistics
18:
Rank Selection of Wavelet Bases in a Spatial Mixed Effects Model Using a Two-Step Bayesian Forward Selection Algorithm
Jaehui Lim, Florida State University ; Eric Chicken, Florida State University; Jonathan R. Bradley, Florida State University
19:
Criteria for Bayesian Hypothesis Testing for Two and More Groups
Victor Pena, Baruch College (CUNY)
20:
A Bayesian Methodology for High-Dimensional Discrete Graphical Models
Anwesha Bhattacharyya
21:
Revisiting the Gelman-Rubin Diagnostic
Christina Knudson, University of St Thomas ; Dootika Vats, Indian Institute of Technology Kanpur
22:
Flexible Multivariate Joint Model of Longitudinal Intensity and Binary Process for Medical Monitoring of Frequently Collected Data
Resmi Gupta, Cincinnati Children's Hospital Medical Center
23:
Flexible Bayesian Inference for Over-Dispersed or Under-Dispersed Spatial Count Data
Hou-Cheng Yang
24:
A Topic Model for Websites
Jason Wang, UCLA ; Robert Weiss, UCLA
25:
Function Estimation Through Phase and Amplitude Separation
James Matuk, The Ohio State University ; Sebastian Kurtek, The Ohio State University; Oksana Chkrebtii, The Ohio State University; Karthik Bharath, University of Nottingham
26:
Bayesian Projected Calibration of Computer Models
Fangzheng Xie ; Yanxun Xu, Johns Hopkins University
27:
Bayesian Approach to Partially Validated Binary Regression with Response and Exposure Misclassification of Longitudinal Data
Katrina Anderson, Marymount University ; James D Stamey, Baylor University
28:
A Bayesian Model of Microbiome Data for Simultaneous Identification of Covariate Associations and Prediction of Phenotypic Outcomes
Matthew Koslovsky, Rice University ; Kristi L. Hoffman, Baylor College of Medicine; Carrie R. Daniel, MD Anderson Cancer Center; Marina Vannucci, Rice University
29:
Applications of the Bayesian Cut Function to Ecohydrological Studies
John Frank, Rocky Mountain Research Station
30:
Bayesian Variable Selection for Cox Regression Model with Spatially Varying Coefficients with Applications to Louisiana Respiratory Cancer Data
Jinjian Mu, University of Connecticut ; Guanyu Hu, University of Connecticut; Qingyang Liu, University of Connecticut; Lynn Kuo, University of Connecticut
31:
Multivariate Space-Time Disease Mapping via Quantification of Disease Risk Dependency
Daniel R. Baer, Medical University of South Carolina ; Andrew B Lawson, Medical University of South Carolina
32:
Modeling Data on the Simplex
Rayleigh Lei, University of Michigan
33:
Estimating the Parameters of Circles and Ellipses Using Orthogonal Distance Regression and Bayesian Errors-In-Variables Regression
Jolene Splett, National Institute of Standards and Technology ; Felix Jimenez, University of Colorado, NIST; Amanda Koepke, National Institute of Standards and Technology
34:
Multi-Rubric Models for Ordinal Spatial Data with Application to Online Ratings Data
Apurva Sunder Desai
36:
Conjugate Bayesian Multivariate Spatial Models with Accelerated Posterior Sampling Using Conjugate Gradient Method
Lu Zhang, UCLA Biostatistics ; Sudipto Banerjee, UCLA
37:
The Impact of Prior Choice on Latent Variable Network Models
Ian Taylor, Colorado State University ; Bailey Fosdick, Colorado State University
38:
Bayesian Survival Analysis with Missing Covariate Values; an Application to Breast Cancer Data
Refah Alotaibi, Princess Nourah bint Abdulrahman University ; Juliana Iworikumo Consul, Niger Delta University, Bayelsa State, Nigeria
39:
Theoretical Guarantees of Convergence of EM Updates in Tangent Transformation Approach
Indrajit Ghosh, Texas A&M University ; Anirban Bhattacharya, TAMU; Prasenjit Ghosh, Texas A & M University; Debdeep Pati, Texas A&M University
41:
Bayesian Smoothing and Classification of Sparse Functional Data Using Gaussian Process
Tahmidul Islam, University of South Carolina ; Paramita Chakraborty , University of South Carolina; James Lynch, University of South Carolina; John Grego, University of South Carolina
