Legend:
CC = Vancouver Convention Centre
F = Fairmont Waterfront Vancouver
* = applied session ! = JSM meeting theme
539
Wed, 8/1/2018,
11:35 AM -
12:20 PM
CC-West Hall B
SPEED: Bayesian Methods and Applications in the Life and Social Sciences — Contributed Poster Presentations
Section on Bayesian Statistical Science , ENAR
Chair(s): Paul McNicholas, McMaster University
Oral Presentations
for this session.
1:
Simulation-Based Bayesian Optimal Design for Ice Sheet Borehole Experiments
Xun Huan, Sandia National Labs/California ; Andrew D. Davis, Massachusetts Institute of Technology
2:
A Bayesian Meta-Analysis to Adjust Diagnostics Tests for Trend Analysis of Clostridium Difficile Infection in the Emerging Infections Program, U. S
Yi Mu, Centers for Disease Control and Prevention
3:
Blocking Collapsed Gibbs Sampler for Latent Dirichlet Allocation Models
Xin Zhang, Pfizer (China) Research and Development Co., Ltd. ; Scott Sisson, University of New South Wales
4:
Dirichlet Process Clustering for the Prediction of Housing Prices
Matt Slifko, Virginia Tech ; Scotland Leman, Virginia Tech; David Bieri, Virginia Tech
5:
A Novel Bayesian PK/PD Model for Synergy: Challenges and Opportunities for Sequential Knowledge Integration
Fabiola La Gamba ; Tom Jacobs, Janssen R&D; Helena Geys, Janssen R&D; Christel Faes, Hasselt University
6:
A Multivariate Probit Model for Learning Trajectories with Application to Classroom Assessment
Yinghan Chen, University of Nevada, Reno ; Steven Culpepper, University of Illinois at Urbana-Champaign
7:
Identifying and Clustering Stable and Dynamic CpG Sites via Bayesian Analysis
Luhang Han, University of Memphis ; Hongmei Zhang, University of Memphis; Ebenezer Olusegun George, University of Memphis; Wilfried Karmaus, University of Memphis; Hasan Arshad , University of Southampton; John Holloway, University of Southampton
8:
Bayesian Spatial Quantile Regression for Areal Count Data, with Application on Substitute Care Placements in Texas
Clay King, Colorado Mesa University ; Joon Jin Song, Baylor University
9:
Variable Selection and Cluster Identification Using Mixture of Regression Trees
Emanuele Mazzola, Dana-Farber Cancer Institute ; Mahlet Tadesse, Georgetown University; Giovanni Parmigiani , Harvard T.H. Chan School of Public Health / Dana-Farber Cancer Institute
10:
Calibrating a Stochastic Agent Based Model Using Quantile-Based Emulation
Arindam Fadikar, Virginia Tech ; David Higdon, Virginia Tech
11:
Bayesian Non-Negative Matrix Factorization for Analyzing Co-Location Networks
Wenna Xi, The Ohio State University ; Catherine Calder, The Ohio State University; Christopher Browning, The Ohio State University
12:
Bayesian High-Dimensional Multi-Outcome Regression with Tree-Structured Shrinkage
Emma Grace Thomas, Harvard T.H. Chan School of Public Health ; Francesca Dominici, Harvard T. H. Chan School of Public Health; Giovanni Parmigiani , Harvard T.H. Chan School of Public Health / Dana-Farber Cancer Institute; Lorenzo Trippa, Harvard
13:
A Variational Bayes Approach to Clustered Latent Preference Models for Directed Network Data
Jaron Lee, Australian National University
14:
Bayesian Adaptive Design of Phase 2 Dose-Finding Study
Tanya Granston, CTI BioPharma Corp. ; Huafeng Zhou, CTI BioPharma Corp.; Lixia Wang, CTI BioPharma Corp.
15:
Bayesian Analysis of High-Dimensional Point Pattern Data Sets Using Latent Multivariate Log-Gamma Random Vectors
Heli Gao, Florida State University
16:
One Direction? On the Modeling of Circular Data Using Projected Normal Distributions
Jolien Cremers, Utrecht University ; Irene Klugkist, Utrecht University
18:
Bayesian Analysis of Unrelated Question Design for Correlated Sensitive Questions from Small Areas
Yuan Yu
