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Sunday, 08/04/2013
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Next Generation of Genotype Imputation Methods
Sayantan Das, University of Michigan; Goncalo R. Abecasis, University of Michigan
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A Hidden Markov Model for Nonignorable Nonmonotone Missing Longitudinal Data for Medical Studies of Quality of Life
Andrea Troxel, Univ of Pennsylvania School of Medicine; Kaijun Liao, University of Pennsylvania School of Medicine
2:05 PM
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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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Partition-Valued Markov Chains: The Cut-and-Paste Representation Theorem
Harry Crane
3:20 PM
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Bayesian Analysis of Spatial Transformation Models with Applications in Neuroimaging Data
Michelle Miranda; Hongtu Zhu, UNC-Chapel Hill; Joseph G. Ibrahim, UNC
3:20 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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Novel Statistical Modeling Advances for Obesity Research
Edward H. Ip, Wake Forest University School of Medicine; Kiros Berhane, University of Southern California
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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Multistate Analysis of Interval-Censored Longitudinal Data for Examining Transitions in Performance Status Among Cancer Outpatients
Rinku Sutradhar, Institute for Clinical Evaluative Sciences
4:35 PM
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Analysis of Panel Data Under a Markov Assumption with Covariate Measurement Error
Feng He, University of Waterloo; Grace Y Yi, University of Waterloo
5:05 PM
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Monday, 08/05/2013
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Modeling Spatial Binary Fields Over Time With Dynamic Markov Random Fields
Kenneth Wakeland, Iowa State University
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Semi-Markov Models for Interval-Censored Transient Cognitive States with Competing Risk
Shaoceng Wei, University of Kentucky; Richard J. Kryscio, Center on Aging and Departments of Statistics and Biostatistics, University of Kentucky
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Stochastic Challenge
Timothy Matis, Texas Tech University; Doug Timmer, The University of Texas Pan American; Ivan Guardiola, Missouri University of Science and Technology
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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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Homogeneity Test for Hidden Markov Models Using Penalized Composite Likelihood
Yi Huang; Jiahua Chen, Universithy of British Columbia
9:05 AM
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The Theoretical Underpinnings of MCMC
Jeffrey S. Rosenthal, University of Toronto
9:25 AM
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Estimation and Selection of Autologistic Regression Models for Spatial Binary Data
Jun Zhu, University of Wisconsin-Madison; Rao Fu, University of Wisconsin-Madison; Andrew L Thurman, University of Wisconsin-Madison; Michelle M Steen-Adams, University of New England
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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Parameterization of Nonstationarity in Stochastic PDE Models
Finn Lindgren, University of Bath
9:25 AM
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A Fiducial Approach to Sparse Covariance Estimation
Wen Shi, UNC; Jan Hannig, UNC-Chapel Hill
9:35 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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Variable Length Markov Chains for Sequential Prediction in Dependence Time Series
Abraham J Wyner, The Wharton School, University of Pennsylvania; Joshua Magarick, University of Pennsylvania
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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Classification of Disease States Under a Mixed-Effects Hidden Markov Model with Application to a Smoking Cessation Clinical Trial
Jesse Raffa, University of Washington; Joel A. Dubin, University of Waterloo
11:35 AM
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Factoring Hidden State Spaces for HMMs
Jordan Rodu, University of Pennsylvania-Wharton
11:50 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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MCMC for Co-Ancestry in Pedigrees and Populations
Elizabeth Thompson, University of Washington
2:05 PM
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Multistate Modeling of Intermittent Observations with Application to Viral Load Measurements in HIV-Positive Patients
Narges Nazeri Rad, University of Waterloo; Jerald F Lawless, University of Waterloo
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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Copula Models for Multivariate Multistate Markov Processes Observed Subject to Right Censoring
Liqun Diao, University of Waterloo; Richard Cook, University of Waterloo
2:35 PM
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Bayesian Latent Variable Modelling of Longitudinal Family Data for Genetic Pleiotropy Studies
Radu Craiu, University of Toronto; Lizhen Xu, Princess Margaret Hospital; Lei Sun, University of Toronto
2:45 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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Estimating Nonhomogeneous Intensity Matrices in Continuous Time Multi-State Markov Models
Gerald Lebovic, St. Michael's Hospital; George Tomlinson, University Health Network; Patrick Brown, University of Toronto; James Stafford, University of Toronto
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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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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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Statistical Modeling of Win Odds for Sales Opportunities
Ta-Hsin Li, IBM
9:05 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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Learning Hierarchical Models
Ruslan Salakhutdinov, University of Toronto
9:35 AM
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Markov-Dependent Models for Correlated Binary Responses
Forrest Crawford, Yale University; Daniel Zelterman, Yale University Biostatistics
9:50 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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Modeling Choice Interdependence in a Social Network
Anocha Aribarg, Ross School of Business, University of Michigan; Yves Atchade, Statistics Department, University of Michigan; Jing Wang, McKinsey - Beijing
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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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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What's Beneath the Surface? Option Pricing with Multifrequency Latent States
Laurent Calvet, HEC Paris; Marcus Fearnley, HEC Paris; Adlai Fisher, University of British Columbia; Markus Leippold, University of Zurich
11:15 AM
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Prior Specification in Multivariate Regime-Switching Lognormal Models
Brian Hartman, University of Connecticut; David Engler, Department of Statistics, Brigham Young University
11:20 AM
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Using Hidden Markov Models to Identify Job Seekers from Social Network Data
Peter Ebbes, HEC Paris; Oded Netzer, Columbia University
11:35 AM
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Spline Models for the Analysis of Spatio-Temporal Count Data
Jon Wakefield, University of Washington; Cici Bauer, Brown
2:05 PM
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Bayesian Large-Scale Multiple Testing for Time Series Data
Xia Wang, University of Cincinnati; Ali Shojaie, University of Washington; Jian Zou, Indiana University-Purdue University Indianapolis
2:05 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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Forgery Detection in Paintings
Yi Wang, SAMSI/Duke University; Ingrid Daubechies, Duke University; Gungor Polatkan, Princeton University; Sina Jafarpour, Yahoo! Research
2:45 PM
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Matrix-Free Computations for Gaussian Markov Random Fields and Related Spatial Processes on Regular Lattice
Debashis Mondal, The University of Chicago
3:05 PM
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A GLR Chart for Monitoring a Proportion with Autocorrelation
Ning Wang, Virginia Tech; Marion Reynolds, Virginia Tech
3:05 PM
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The Impact of Partial Markov Bases on the Goodness-of-Fit of Network Models
Xiaolin Yang, Carnegie Mellon Univ; Stephen E. Fienberg, Department of Statistics, Carnegie Mellon University; Alessandro Rinaldo, Carnegie Mellon University
3:05 PM
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Wednesday, 08/07/2013
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Bayesian Inference for Early Detection of Influenza Epidemics
Xian Yu, University of Arkansas at Little Rock; Didun Peng, University of Arkansas at Little Rock
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Parameter and Structure Learning in Nested Markov Models of Acyclic Directed Mixed Graphs
Ilya Shpitser, Harvard School of Public Health; Thomas S. Richardson, University of Washington; James Robins, HSPH; Robin Evans, University of Cambridge
9:00 AM
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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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Graph-Theoretic Analysis of Complex Stochastic Networks
David H. Collins, Los Alamos National Laboratory; Aparna V. Huzurbazar, Statistical Sciences Group, Los Alamos National Laboratory
9:25 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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Bayesian Inference for Temporal Gradients from Regionally Aggregated Space-Time Data
Sudipto Banerjee, University of Minnesota; Harrison Quick, University of Minnesota; Bradley P. Carlin, University of Minnesota
11:00 AM
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Assessment of Jointly Dependent Markov Processess Through Bayes Factors and Bayesian Variable Selection
David Engler, Department of Statistics, Brigham Young University; Brian Healy, Department of Neurology, Harvard Medical School
11:05 AM
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Poisson Graphical Models for Inferring Networks from Next-Generation Sequencing Data
Genevera Allen, Rice University; Zhandong Liu, Baylor College of Medicine; Euhno Yang, The University of Texas at Austin; Pradeep Ravikumar, The University of Texas at Austin
11:15 AM
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A Bayesian Stochastic Model for Batting Performance Evaluation in One-Day Cricket
Theodoro Koulis, University of Manitoba; Saman Muthukumarana, University of Manitoba
11:20 AM
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Multivariate Nonlinear Models for Turning Points Detection: Direct Versus Indirect Indicators
Riccardo Gatto, Eurostat - European Commission; Monica Billio, Università di Venezia; Gian Luigi Mazzi, Eurostat - European Commission; Laurent Ferrara, Universitè Paris 10
2:25 PM
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Statistical Learning with Time Series Dependence: An Application to Scoring Sleep in Mice
Blakeley B. McShane, Northwestern University; Shane T. Jensen, The Wharton School, University of Pennsylvania; Allan I. Pack, University of Pennsylvania; Abraham J Wyner, The Wharton School, University of Pennsylvania
2:30 PM
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Markov-Switching Mixed Frequency VAR Models
Pierre Guérin, Bank of Canada; Claudia Foroni, Norges Bank; Massimiliano Marcellino, European University Institute
2:50 PM
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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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Space-Time Models for Aggregated Infectious Disease Data with Different Strains
Cici Bauer, Brown
8:50 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 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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An Integrative Bayesian Modeling Approach to Imaging Genetics
Francesco Stingo, UT MD Anderson Cancer Center; Michele Guindani, The University of Texas MD Anderson Cancer Center; Marina Vannucci, Rice University; Vince Calhoun, University of New Mexico
9:35 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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A Semiparametric Bayesian Model for Longitudinal Data: The Cluster Memory Dirichlet Process Mixture Model
Robert E Weiss, University of California, Los Angeles; Yuda Zhu, Genentech
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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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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Memory Depth Identification for Real-Valued Processes
Zsolt Talata, University of Kansas; Roberto Oliveira, IMPA
11:20 AM
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Strategies for Detecting Allele-Specific Imbalance by Modifying Rare Variant Association Methods
Sharon Lutz, Univ. of Colorado; Tasha E. Fingerlin, University of Colorado Anschutz Medical Campus
11:25 AM
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A Bayesian Test of Independence in a Two-Way Contingency Table Under Two-Stage Cluster Sampling with Covariates
Dilli Bhatta, Worcester Polytechnic Institute
11:35 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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