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CC = Vancouver Convention Centre   F = Fairmont Waterfront Vancouver
* = applied session       ! = JSM meeting theme

Activity Details

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