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Sunday, 08/04/2013
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Hierarchical Bayesian Model for Technical Efficiency Using Stochastic Frontier Production Function
Seongho Song, University of Cincinnati; Chansoo Kim, Kongju National University; Younshik Chung, Pusan National University; Myoungjin Jung, Pusan National University
2:05 PM
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Quantifying Uncertainty in CO2 Emissions with a Restricted Number of Remote Sensors: A Comparison of Model Calibration and Kalman Filtering Techniques
Matthew Pratola; Jon Reisner, Los Alamos National Laboratories; M.K. Dubey, Los Alamos National Laboratories; Dave Higdon, Los Alamos National Laboratories
3:05 PM
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Bayesian Model Averaging in Benchmark Dose Analysis
Cuixian Chen, The University of North Carolina Wilmington; Susan Simmons, The University of North Carolina Wilmington; Xiaosong Li, The University of North Carolina Wilmington; Yishi Wang, The University of North Carolina Wilmington; Walter Piegorsch , University of Arizona; Qijun Fang, University of Arizona
4:05 PM
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Bayesian Partially Ordered Multinomial Probit/Logit Model with an Application to Course Redesign
Michael Sonksen, The University of New Mexico; Kristin Umland, The Univeristy of New Mexico; Xueqin Shelley Wang, The University of New Mexico
4:20 PM
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Parallel Markov Chain Monte Carlo for Nonparametric Mixture Models
Sinead Williamson, Carnegie Mellon University
4:25 PM
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The Use of Propensity Score Methods with Survival or Time-to-Event Outcomes
Peter Austin, ICES
4:45 PM
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A Characterization of the Power Method Transformation through the Method of Percentiles
Jennifer Koran, Southern Illinois University Carbondale; Todd C. Headrick, Southern Illinois University Carbondale; Tzu Chun Kuo, Southern Illinois University Carbondale
4:50 PM
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Gradient Extrapolated Stochastic Kriging
Michael Fu; Huashuai Qu, University of Maryland
5:05 PM
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Birnbaum-Saunders Frailty Model
Lin Fang, McMaster University; Narayanaswamy Balakrishnan, McMaster University
5:05 PM
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Monday, 08/05/2013
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A Monte Carlo Investigation of the Effectiveness of Backward Elimination Analysis as a Multivariate Analysis of Variance (MANOVA) Post Hoc Procedure
Chittanun Sitthisan, University of Northern Colorado
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Gibbs Sampling and Markov Chain Monte Carlo: A Modeler's Perspective
Alan E. Gelfand, Duke University
8:35 AM
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A Bayesian Spatio-Temporal Geostatistical Model with an Auxiliary Lattice for Large Data Sets
Ganggang Xu, Texas A & M University; Faming Liang, Texas A&M University; Marc G. Genton, KAUST
8:35 AM
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Novel and Computationally Efficient Bayesian Methods in Neuroimaging
Theodore Kypraios, University of Nottingham, United Kingdom
8:55 AM
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Monte Carlo Null Models for Genomic Data
Egil Ferkingstad, Norwegian Computing Center; Lars Holden, Norwegian Computing Center; Geir Kjetil Sandve, University of Oslo, Department of Informatics
9:20 AM
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The Theoretical Underpinnings of MCMC
Jeffrey S. Rosenthal, University of Toronto
9:25 AM
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A Closer Look at the Median Probability Model for Bayesian Model Selection
Joyee Ghosh, The University of Iowa
9:25 AM
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Sequential Bayesian Inference in Hidden Markov Stochastic Kinetic Models with Application to Detection and Response to Seasonal Epidemics
Junjing Lin, Univeristy of California, Santa Barbara; Michael Ludkovski, University of California, Santa Barbara
9:50 AM
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Convergence Assessment in Large Finite State Space MCMC with an Application to Bayesian Clustering
Masoud Asgharian, McGill University; Ioana Ada Coxma, University of Ottawa; Vahid Partovi Nia, École Polytechnique Montréal
10:05 AM
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Bayesian Bandwidth Estimation for a Semi-Functional Partial Linear Regression Model with Unknown Error Density
Han Lin Shang, University of Southampton
10:35 AM
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Bayesian Computation Without Tears
Mani Lakshminarayanan, Merck Research Laboratories
10:35 AM
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Bayesian Clustering in Decomposable Graphs
Luke Bornn, Department of Statistics, Harvard University; François Caron, INRIA Bordeaux - Sud-Ouest
11:35 AM
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Efficient Parameter Estimation for Models of Health Care--Associated Infection in Continuous Time with Bayesian Networks
Andrew Reed, University of Utah; Alun Thomas, University of Utah; Karim Khader, University of Utah; Molly Leecaster, University of Utah; Tom Greene, University of Utah; Matthew Samore, University of Utah
11:50 AM
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A Bayesian Model for the Study of Interpersonal Perception
Paramjit S. Gill, UBC Okanagan
2:05 PM
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A Multivariate Frailty Model for the Multi-Type Recurrent Event Data Using an Automated Monte Carlo EM Algorithm
Khaled Bedair, Virginia Tech; Yili Hong, Virginia Polytechnic Institute & State University
2:05 PM
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Relative Fixed-Width Stopping Rules for Markov Chain Monte Carlo Simulations
James M. Flegal, University of California, Riverside
2:25 PM
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Efficient Bayesian Inference for Multivariate Factor Stochastic Volatility (SV) Models
Gregor Kastner, WU Vienna University of Economics and Business; Sylvia Frühwirth-Schnatter, WU Vienna University of Economics and Business; Hedibert Freitas Lopes, The University of Chicago Booth School of Business
2:50 PM
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A Bayesian Missing Data Framework for Generalized Multiple Outcome Mixed Treatment Comparisons
Hwanhee Hong, Division of Biostatistics, University of Minnesota; Haitao Chu, University of Minnesota School of Public Health; Jing Zhang, University of Minnesota School of Public Health; Bradley P. Carlin, University of Minnesota
3:05 PM
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Tuesday, 08/06/2013
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A Bayesian Approach to Model Criticism in Pedestrian Accident Reconstruction
Gary Davis, Univ of Minnesota
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Markov Chain Monte Carlo with Linchpin Variables
Felipe Acosta Archila, University of Minnesota; Galin Jones, University of Minnesota
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Monte Carlo Maximum Likelihood for the Two-Stage Hierarchical Model
Christina Knudson, University of Minnesota
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Exact Hamiltonian Monte Carlo for Truncated Multivariate Gaussians
Ari Pakman, Columbia University; Liam Paninski, Columbia University
8:35 AM
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Bayesian Hierarchical Feature Selection of Structured Functional Predictors for Multilevel Functional Data Measured with Error
Yize Zhao, Emory University; Jian Kang, Emory University; Qi Long, Emory University, Department of Biostatistics
8:35 AM
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Joint Modeling of Multivariate Longitudinal Measurements and Survival Data with Applications to Parkinson's Disease
Sheng Luo, The University of Texas Health Science Center at Houston; Bo He, The University of Texas at Houston
8:50 AM
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Local Step Size Adaptation for Hamiltonian MCMC
Matthew Douglas Hoffman, Adobe Research
9:05 AM
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Variable Selection with Overlapping Clustering
Thierry Chekouo Tekougang, The University of Texas MD Anderson Cancer Center; Alejandro Murua, University of Montreal
9:15 AM
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Improved Estimation and Uncertainty Quantification Using Monte Carlo--Based Optimization Algorithms
Cong Xu, UC Davis; Paul David Baines, UC Davis; Jane-Ling Wang, UC Davis
9:20 AM
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Split Hamiltonian Monte Carlo
Babak Shahbaba, UC Irvine; Shiwei Lan, UC IRvine; Wesley O. Johnson, UC Irvine; Radford M. Neal, University of Toronto
9:35 AM
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Warp Bridge Sampling: The Next Generation
Lazhi Wang, Harvard University; Xiao-Li Meng, Harvard University
9:35 AM
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Sequential Monte Carlo with Adaptive Weights for Approximate Bayesian Computation
Fernando Bonassi, Duke University; Mike West, Duke University
9:55 AM
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Spatial Graphical Model for High-Dimensional Discrete Lattices
Xuan Che, Oregon State University; Alix I. Gitelman, Department of Statistics, Oregon State University
9:55 AM
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Ergodicity of Adaptive MCMC Algorithms
Jeffrey S. Rosenthal, University of Toronto
10:35 AM
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Spatial Regression Modeling for Compositional Data with Many Zeros
Thomas Leininger, Duke University; Alan E. Gelfand, Duke University; Jenica Allen, University of Connecticut; John Silander, Jr., University of Connecticut
10:55 AM
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Model Selection Criteria Based on Computationally Intensive Estimators of the Expected Optimism
Joseph Cavanaugh, University of Iowa
11:15 AM
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Heteroscedastic CAR Models for Areally Referenced Temporal Processes with an Application to California Asthma Hospitalization Data
Harrison Quick, University of Minnesota; Bradley P. Carlin, University of Minnesota; Sudipto Banerjee, University of Minnesota
11:15 AM
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Monte Carlo Confidence Intervals
Yves Atchade, Statistics Department, University of Michigan
2:05 PM
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Statistical Methods for Noninferiority Trials
Saman Muthukumarana, University of Manitoba
2:25 PM
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Locally Adaptive Markov Chain Monte Carlo
Anthony Lee, University of Warwick; Christophe Andrieu, University of Bristol; Arnaud Doucet, University of Oxford
2:25 PM
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Fully Bayesian Inference for Spatial Extremes Using Hierarchical Extreme Value Processes
Ben Shaby, UC - Berkeley; Brian J. Reich, North Carolina State University
2:30 PM
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Score and Observed Information Matrix Estimation in State-Space Models Using Sequential Monte Carlo
Pierre Etienne Jacob, National University of Singapore; Arnaud Doucet, University of Oxford; Sylvain Rubenthaler, CNRS Nice
2:45 PM
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Comparing the Efficiency of Adaptive MCMC Algorithms
Scott C. Schmidler, Duke University
3:05 PM
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Wednesday, 08/07/2013
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Lifetime Risk Estimators in Epidemiological Studies of Krabbe Disease: Review and Monte Carlo Comparison
Alexander Foss, Univ At Buffalo, Dept. of Biostatistics; Randy Carter, University At Buffalo
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Bayes Estimation of Moran-Downton Bivariate Exponential Distribution Based on Censored Samples
Yu-Jau Lin, Chung Yuan Christian University; Yuhlong Lio, University of South Dakota; Hon Keung Tony Ng, Southern Methodist University
9:20 AM
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Inference for Computationally Intensive Space-Time Disease Models
Murali Haran, The Pennsylvania State U.; Roman Jandarov, University of Washington
9:25 AM
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Restricted Covariance Priors with Applications in Spatial Statistics
Adrian Dobra, University of Washington; Theresa Ruth Smith, University of Washington
9:50 AM
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A Max-Stable Spatial Model for Extreme Precipitation
Brian J. Reich, North Carolina State University; Ben Shaby, UC - Berkeley
10:35 AM
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Network Meta-Analysis of Categorical Outcomes with Incomplete Data
Christopher Schmid, Brown University; Thomas A Trikalinos, Brown University; Ingram Olkin, Stanford University
10:35 AM
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Bayesian Design of Noninferiority Clinical Trials via Conditional Borrowing of Historical Data with Applications
Ming-Hui Chen, University of Connecticut
10:35 AM
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Using Bayesian State-Space Models to Estimate Parameters for Disease Transmission from Mark-Recapture Data
Jennifer Hoeting, Colorado State University; Nick E. Cummings, Colorado State University; N. Thompson Hobbs, Colorado State University
3:05 PM
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Bayesian Semiparametric Analysis of Semi-Competing Risks Data
Kyu Ha Lee , Harvard School of Public Health ; Sebastien Haneuse, Harvard School of Public Health; Deborah Schrag, Dana-Farber Cancer Institute; Francesca Dominici, Harvard School of Public Health
3:05 PM
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Thursday, 08/08/2013
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An Adaptive Exchange Algorithm for Sampling from Distribution with Intractable Normalizing Constants
Faming Liang, Texas A&M University
8:35 AM
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Efficiency of Markov Chain Monte Carlo for Bayesian Computation
Dawn B Woodard, Cornell University
9:00 AM
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Analyzing Spatially Aggregated Infectious Disease Data Using Time-Varying Individual-Level Models
Lin Zhang, University of Guelph, Department of Mathematics and Statistics; Rob Deardon, University of Guelph
9:05 AM
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A Test Based on Monte Carlo Simulations for Biomarker-Adaptive Threshold Design
Yafeng Zhang, UCLA; Glen Laird, Bristol-Myers Squibb
9:20 AM
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A Bayesian Semiparametric Approach to the Instrumental Variables Problem with a Binary Treatment or Outcome
Jessica Pruszynski, Medical College of Wisconsin; Purushottan Laud, Medical College of Wisconsin; Rodney Sparapani, Medical College of Wisconsin; Robert E. McCulloch, The University of Chicago Booth School of Business
9:20 AM
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Bayesian Inference for Causal Quantities via the Instrumental Variable Approach with a Binary Outcome and a Binary Treatment
Rodney Sparapani, Medical College of Wisconsin; Purushottan Laud, Medical College of Wisconsin; Jessica Pruszynski, Medical College of Wisconsin; Robert E. McCulloch, The University of Chicago Booth School of Business
9:35 AM
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Augmented Particle Filters
Yuguo Chen, University of Illinois at Urbana-Champaign
9:50 AM
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A Bayesian Analysis of Daily Weir Counts for Estimating Chinook Salmon Escapement
Margaret Short, University of Alaska, Fairbanks; Jim Jasper, Alaska Department of Fish and Game
9:50 AM
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Statistical Prediction for Virginia Lyme Disease Emergence Based on Spatial-Temporal Count Data
Yuanyuan Duan, Virginia Tech; Jie Li, Virginia Tech; Yili Hong, Virginia Polytechnic Institute & State University; Korine N. Kolivras, Virginia Tech; Stephen P. Prisley, Virginia Tech; James B. Campbell, Virginia Tech; David N. Gaines, Virginia Department of Health
10:05 AM
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Assessment of Total Survey Error for the 2011 National Immunization Survey
Wei Zeng, NORC at the University of Chicago; Kirk Wolter, NORC at the University of Chicago; Benjamin Skalland, NORC at the University of Chicago; Vicki Pineau, NORC at the University of Chicago; Carla Black, Centers for Disease Control and Prevention; Christina Dorell, Centers for Disease Control and Prevention; Meena Khare, NCHS/CDC
10:35 AM
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Small Sample Properties of JR Estimators
John Kloke, University of Wisconsin; Joseph McKean, Western Michigan University
10:50 AM
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Poisson Mixture Models for Next-Generation RNA Sequencing Data
Qiwei Li, Rice University; Marina Vannucci, Rice University; Heng Lian, Nanyang Technological University
11:05 AM
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Bayesian Kernel-Based Modeling and Selection of Genetic Pathways and Genes for Cancer
Zhenyu Wang, University of Missouri, Columbia; Sounak Chakraborty, University of Missouri-Columbia; Jianguo Sun, University of Missouri-Columbia
11:20 AM
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Statistical Models for Networks Resilient to Targeted Attacks
Jingfei Zhang, University of Illinois; Yuguo Chen, University of Illinois at Urbana-Champaign
11:50 AM
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