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Sunday, 08/01/2010
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Nonlinear Regression and Bayesian Robustness via Disparities
Giles Hooker, Cornell University
2:05 PM
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Inference for Day-to-Day Dynamic Traffic Models
Martin Luke Hazelton, Massey University; Katharina Parry, Massey University
2:20 PM
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Small-World MCMC with Tempering: Ergodicity, Spectral Gap, and Applications
Yongtao Guan, The University of Chicago; Matthew Stephens, The University of Chicago
2:20 PM
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Estimating Epidemic Parameters of STI Transmission: A Bayesian Approach Using MCMC Techniques
Jeffrey M. Switchenko, Emory University; Lance Waller, Emory University
2:20 PM
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A Bayesian Model for EEG Frequency-Domain Functional Connectivity
Wesley Thompson, University of California, San Diego
2:25 PM
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Modeling Dependence in Reverse Phase Protein Arrays
Donatello Telesca, University of California, Los Angeles; Peter Muller, MD Anderson Cancer Center; Yuan Ji, MD Anderson Cancer Center
2:25 PM
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A Semiparametric Bayesian Approach for Modeling Ordinal Survey Data
Saman Muthukumarana, Simon Fraser University; Tim B. Swartz, Simon Fraser University
2:35 PM
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Using the RJMCMC Procedure for Identifying and Estimating Univariate TAR Models
Fabio Humberto Nieto, Universidad Nacional de Colombia; Hanwen Zhang, Santo Tomás University; Wen Li, Iowa State University
2:35 PM
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A Factor-Augmented Random Effects Model to Model the Association Between Cognitive Performance and Nutrition
Sherry Lin, University of California, Los Angeles; Robert E. Weiss, University of California, Los Angeles School of Public Health
2:35 PM
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Identifying Vulnerable Populations Through an Examination of the Association Between Multipollutant Profiles and Measures of Deprivation
John Molitor, Imperial College, London; Jason Su, University of California, Berkeley; Sylvia Richardson, Imperial College, London; Michael Jerrett, University of California, Berkeley
2:50 PM
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Hierarchical Bayes Conjoint Choice Analysis via the Approximate Dependent Poisson Race Model
Hang Joon Kim, The Ohio State University; Steven MacEachern, The Ohio State University
3:35 PM
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Bayesian Empirical Orthogonal Function Method and Its Application
Yiping Dou, The University of British Columbia; Nhu Le, BC Cancer Agency; Jim Zidek, The University of British Columbia
4:20 PM
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Marginally Specified Hierarchical Models for Networks and Relational Data: An Application to Health Policy
Andrew C. Thomas, Carnegie Mellon University; Joseph Blitzstein, Harvard University
4:25 PM
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Monday, 08/02/2010
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Incorporating Chromosomal Spatial Correlation Through 3D Structures Into Microarray Data Analysis
Xinlei Wang, Southern Methodist University; Guanghua Xiao, UT Southwestern Medical Center; Arkady Khodursky, University of Minnesota
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Characterizing the Mutation Pathway for Integrase Inhibitor
Jing Zhao, Merck Research Laboratories
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Bayesian Mixed Hidden Markov Models (BMHMM): A Multilevel Approach to Modeling Childhood Asthma
Yue Zhang, University of Southern California; Kiros Berhane, University of Southern California
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Statistical Models and Estimation Methods for Ordinal Longitudinal Data
Claudia Czado, Technische Universitaet Muenchen; Claudia Czado, Technische Universitaet Muenchen
9:05 AM
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An Evaluation of the N-Mixture Model for Pseudo-Replicated Count Data in Animal Abundance Estimation
Sherwin G. Toribio, University of Wisconsin-La Crosse; Brian R. Gray, U.S. Geological Survey
9:05 AM
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Hierarchical Model Building, Fitting, and Checking: A Behind-the-Scenes Look at a Bayesian Analysis of Arsenic Exposure Pathways
Peter F. Craigmile, The Ohio State University; Catherine Calder, The Ohio State University; Hongfei Li, IBM T.J. Watson Research Center; Rajib Paul, Western Michigan University; Noel A. Cressie, The Ohio State University
11:05 AM
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Modeling Variability in Blood Glucose Data Collected in Continuous Monitoring Using ARIMA and Hierarchical Bayesian MCMC GLMM Models
Alex Zolot, StatVis Consulting
11:05 AM
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A Bayesian Model for Misclassified Binary Outcomes and Correlated Survival Data, with Applications to Breast Cancer
Min Yi, The University of Texas Health Science Center at Houston; Sheng Luo, The University of Texas School of Public Health; Xuelin Huang, MD Anderson Cancer Center; Kelly K. Hunt, MD Anderson Cancer Center
11:15 AM
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Bias Correction and Bayesian Analysis of Digital Gene Expression Libraries
Russell L. Zaretzki, University of Tennessee; Michael A. Gilchrest, University of Tennessee
11:15 AM
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Data Augmentation Strategies for the Bayesian Spatial Probit Regression Model
Candace Berrett, The Ohio State University; Catherine Calder, The Ohio State University
11:35 AM
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Application of Bayesian Analysis in the Identification of Quantitative Trait Loci (QTL) in Dogs
Lan Zhu, Oklahoma State University
2:05 PM
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Bayesian LASSO for Genome-Wide Association Analysis
Jiahan Li, Penn State; Rongling Wu, Penn State
2:20 PM
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Generalized Linear Spatial Random Effects Model
Aritra Sengupta, The Ohio State University; Noel A. Cressie, The Ohio State University
2:35 PM
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Semiparametric Bayesian Analysis of High-Throughput Array CGH Data
Subharup Guha, University of Missouri
2:35 PM
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Exact Test of Hardy-Weinberg Equilibrium in Multi-Allelic Case via Markov Base
Marepalli B. Rao, University of Cincinnati; Subramaniam Venkatesan, University of Cincinnati; Subramanyam Kasala, University of North Carolina Wilmington
3:35 PM
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Tuesday, 08/03/2010
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Bayesian Nonparametric Inference of Effective Population Trajectories with Gaussian Processes
Julia Adela Palacios, University of Washington; Vladimir Minin, University of Washington
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The Polya Tree Sampler: Towards Efficient and Automatic Independent Metropolis Proposals
Alejandro Jara, Pontificia Universidad Católica de Chile; Timothy Edward Hanson, University of Minnesota; Joao Monteiro, University of Minnesota
8:35 AM
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Achieving Accurate Computation in Bayesian Scale-Usage Models
Chris Hans, The Ohio State University; Greg Allenby, The Ohio State University; Peter F. Craigmile, The Ohio State University; Ju Hee Lee, The Ohio State University; Steven MacEachern, The Ohio State University; Xinyi Xu, The Ohio State University
8:35 AM
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MCMC Model Composition Strategy in a Hierarchical Setting
Susan Simmons, University of North Carolina Wilmington; Qijun Fang, The University of Arizona; Fang Fang, The University of Arizona; Ann Stapleton, University of North Carolina Wilmington; Karl Ricanek, University of North Carolina Wilmington
9:05 AM
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Extending the Multivariate Probit Model to Accomodate Spatial Data
Aline Tabet, The University of British Columbia
9:15 AM
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Bayesian Estimation of Pair Copula Constructions with Discrete Margins
Anastasios Nicholas Panagiotelis, Technische Universitaet Muenchen; Claudia Czado, Technische Universitaet Muenchen
9:20 AM
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MCMC Algorithms for Bayesian Models Involving Binary Data
Santanu Pramanik, NORC; Edward Mulrow, NORC
9:35 AM
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Network-Based Auto-Probit Modeling for Protein Function Prediction
Xiaoyu Jiang, Boehringer Ingelheim Pharmaceuticals, Inc.; David Gold, State University of New York at Buffalo; Eric Kolaczyk, Boston University
10:35 AM
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Approximate Bayesian Computation for Spatial Extremes via Open-Faced Sandwich Adjustment
Benjamin Shaby, Statistical and Applied Mathematical Sciences Institute
10:35 AM
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Using Hybrid MCMC for Logistic Regression Model Selection
Robert Feyerharm, Independent Consultant
10:35 AM
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Quantile Estimation via Markov Chain Monte Carlo
James M. Flegal, University of California, Riverside
10:50 AM
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Bayesian Modeling for Spatial Extreme Values
Huiyan Sang, Texas A&M University
11:00 AM
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Nonidentifiability in the Context of Missing Confounders
Lawrence McCandless, Simon Fraser University
11:15 AM
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Hospital Length-of-Stay Modeling by Coxian Phase-Type Regression with Heterogeneity
Xiaoqin Tang, Michigan State University; Zhehui Luo, Michigan State University; Joseph Gardiner, Michigan State University
11:20 AM
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Gaussian Process--Based Bayesian Semiparametric Quantitative Trait Loci Interval Mapping
Fei Zou , The University of North Carolina at Chapel Hill; Hanwen Huang, The University of North Carolina at Chapel Hill; Haibo Zhou, The University of North Carolina at Chapel Hill; Fuxia Cheng, Illinois State University; Ina Hoeschele, Virginia Tech
2:05 PM
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Reduced-Rank Factor Models for Network and Relational Array Data
Peter Hoff, University of Washington
2:05 PM
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A Dynamic Approach for the Piecewise Exponential Model with Random Time Grid
Dipak K. Dey, University of Connecticut
2:05 PM
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Bayesian Semiparametric Analysis of Case-Control Studies with Time-Varying Exposures
Dhiman Bhadra, University of Florida; Michael J. Daniels, University of Florida; Malay Ghosh, University of Florida; Bhramar Mukherjee, University of Michigan
3:25 PM
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Wednesday, 08/04/2010
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Studying Simulated Mass Layoff Events and Employment/Unemployment Data with Factor Analysis, Multiple Regression, and Bayesian Methods
Zhe (Jason) Liu, Iowa State University; Mack Shelley, Iowa State University
9:20 AM
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Combining Principal Component Analysis with Parameter Line Searches to Construct Well-Designed Proposal Distributions for Metropolis-Hastings MCMC
David Andrew Kennedy, The University of Chicago; Vanja Dukic, The University of Chicago; Greg Dwyer, The University of Chicago
9:35 AM
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A Bayesian Design with the Time-to-Event Endpoint
Qiong Wang, GlaxoSmithKline
11:35 AM
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Semiparametric Functional Mapping for Irregular Longitudinal Data Using Penalized Spline and MCMC
Kiranmoy Das, Penn State
11:50 AM
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Hierarchical Bayes Models for Daily Rainfall at Multiple Sites
Kenneth Shirley, AT&T Labs
11:50 AM
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Bayesian Mixtures of Autoregressive Models
Ori Rosn, The University of Texas at El Paso; Sally Wood, Melbourne Business School; Robert Kohn, University of New South Wales
12:05 PM
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Finite Mixtures of Individual-Level Models for Infectious Diseases
Rob Deardon, University of Guelph; Lorna Deeth, University of Guelph
2:05 PM
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The Long Tail of Disease Modeling
Abraham D. Flaxman, Institute for Health Metrics and Evaluation; Stephen S. Lim, Institute for Health Metrics and Evaluation; Christopher J.L. Murray, Institute for Health Metrics and Evaluation
2:05 PM
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Linear Approximations of Individual-Level Models for Infectious Disease
Grace Pui Sze Kwong, University of Guelph; Rob Deardon, University of Guelph
2:20 PM
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Reversible Jump MCMC for Parametric Functional Data Models: Changing Models Through Function Space Mappings
David A. Campbell, Simon Fraser University
2:45 PM
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