| Speaker | Affiliation |
Title (click to view abstract) | Poster |
| Veera Baladandayuthapani | Texas A&M University | Spatially Adaptive Bayesian Regression Splines | |
| Susie Bayarri | University of Valencia | BADA for a pharmaceutical study with paired case-control subjects | |
| Bo Cai | University of Auckland | Untitled | |
| Kate Calder | Ohio State University | Exploring Latent Structure in Multivariate Spatial Temporal Processes Using Process Convolutions | |
| Carlos Carvalho | ISDS/Duke University | Unrestricted Gaussian Graphical Model Determination | |
| Sounak Chakraborty | University of Florida | Bayesian Machine Learning for Large $p$ \\Small $n$ Regression | |
| Ansu Chatterjee | University of Minnesota | Bootstrap Confidence Intervals for Empirical Bayes Predictors | |
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| Lisue Chen | CTBMcGraw-Hill | | |
| Calvin Chiu | Department of Statistics Harvard University | Belief Functions Applied to Object Recognition | |
| J Andrés Christen | CIMAT Mexico | Approximate MCMC for Highly Computational Demanding Posteriors | |
| David Dahl | University of Wisconsin - Madison | Modeling Differential Gene Expression using a Dirichlet Process Mixture Model | |
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| David Draper | University of California Santa Cruz | | |
| Jason Duan | ISDS Duke University | Nonstationary Spatial Process Modeling Through Discrete Mixing. | |
| Howard Edwards | Massey University New Zealand | A Bayesian Exploration of the Relationship Between Crime and Unemployment in New Zealand for the Time Period: 1986-2002 | pdf |
| Matthew Farnsworth | Colorado State University | Mapping Chronic Wasting Disease in Mule Deer Across North-central Colorado | |
| Marco Ferreira | Universidade Federal do Rio de Janeiro | Untitled | |
| Bernd Fischer | RIACS/NASA Ames Research Center | Automatic Derivation of Statistical Data Analysis Algorithms: Planetary Nebulae and Beyond | |
| Steve Fleischman | Alaska Department of Fish and Game | WinBUGS for Bayesian Fisheries Models | ppt | pdf
| Dimitris Fouskakis | University of Bath | Stochastic Optimisation Methods for Cost Effective Quality Assessment in Health. | |
| Sylvia Fruehwirth-Schnatter | Johannes Kepler Universität Linz Austria | Bayesian Parsimonious Estimation of Observed and Unobserved Heterogeneity | |
| Furong Gao | CTB/McGraw-Hill | Bayesian Item Parameter Estimation in IRT Models; | |
| Sara Geneletti | University College London | Some Issues Raised by a Causal Inference Based Approach to Decision Making | |
| Sarah Goria | Centre de Geostatistique Ecole des Mines de Paris | Real Options and Bayesian Analysis to Value Flexibility in a Mining Project | |
| Jim Griffin | University of Kent | Dirichlet Process Modelling with Dependence | |
| Ana Grohovac Rappold | ISDS Duke University | Modeling Yearly Cycle of the Ocean's Mixed Layer Depth by Process Convolution | |
| Lelys Guenni | Universidad Simon Bolivar Caracas - Venezuela | Modelling the Probability of Catastrophic Rainfall Events in the Venezuelan States | |
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| Tim Hammond | DRDC- Atlantic | | pdf |
| Chris Hans | ISDS - Duke University | Constructing High-dimensional Sparse Graphical Models | |
| Nick Heard | Imperial College London | Bayesian Clustering of Functional Data: An Investigation into the Immune Response in Anopheline Mosquitoes to the Malaria Parasite | |
| Noble Hendrix | University of Washington | Constructing Spatially Explicit Population Models with Uncertainty | |
| Chris Holloman | Battelle Memorial Institute | A Multiresolution GA-Style MCMC Algorithm | |
| Xiaoli Hou | Merck | Modeling and Prediction of Joint Actions of Multiple Drugs: Syntergism, Antagonism, and Additivity | |
| Mahieddine Ichir | Laboratoire des Signaux et Systemes CNRS | Hidden Markov Models for Wavelet Domain Image Separation | |
| Tim Johnson | University of Michigan | A Bayesian Mixture Model Relating Dose to Critical Organ Injury in 3D Conformal Radiation Therapy | pdf |
| Golam Kibria | Florida International University | The Predictive Distribution of Sum of Squares and Products Matrices for the Multivariate Elliptically Contoured Distributions | |
| John Kornak | UCSF | 1. Improved Reconstruction of Spectroscopic Images Using Segmented MRIs, and 2. Location Error Incorporated within Bayesian Geostatistical Modeling | |
| Samuel Kou | Harvard University | Bayesian Analysis of Single Molecule Experimental Data. | |
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| Francis Lad | | | |
| Mike Larsen | University of Chicago | Hierarchical Bayesian Probabilistic Linkage and Regression in Linked Files | |
| Prakash Laud | Medical College of Wisconsin | Cost Utility Analysis of an HIV Prevention Intervention | pdf |
| Li-Jung Liang | UCLA | Constructing Hierarchical Priors | |
| Brian Lucena | University of Washington | Untitled | |
| Anandamayee Majumdar | University of Connecticut | A Spatio-temporal Change-point Modeling problem | |
| Daniel Merl | UCSC | New Bayesian Methods for Robust Detection of Positively Selected Amino Acid Sites | pdf |
| Ali Mohammad-Djafari | LSS CNRS Supelec UPS France | Bayesian Data Fusion for Efficient Detection and Estimation in Computed Tomography | |
| Brian Neelon | University of North Carolina | Untitled | |
| Kjell Nygren | IMS Health | Exact Sampling from Posterior Densities Using Likelihood- Subgradient Densities with Accept-Reject Procedures | |
| Sean O'Brien | National Institute of Environmental Health Sciences | Bayesian Multivariate Logistic Regression | |
| Wolfgang Polasek | IHS Vienna | Untitled | |
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| Raquel Prado | UC Santa Cruz | | |
| Ken Rice | MRC Biostatistics Unit Cambridge UK | A Bayesian Derivation of Conditional Methods in Case-control Studies, with Applications | |
| Gareth Ridall | Queensland University of technology | A Bayesian Hierarchical Model for Estimating Motor Unit Numbers | |
| Fabio Rigat | I.S.D.S. Duke University | Untitled | |
| Josemar Rodrigues | Federal University of São Carlos | Full Bayesian Significance Test for Zero-Inflated Distributions | |
| David Rogers | SciTegic Inc. | Untitled | |
| Tyson Rogers | UCLA Biostatistics | Hierarchical Bayesian Density Estimation for the Grid Mixture Model | |
| Daniel Rowe | Medical College of Wisconsin | A Simple Bayesian Activation Model for FMRI Data Analysis | |
| Alexandra Schmidt | IM-UFRJ BRAZIL | Multivariate Spatial Process Models: Conditional and Unconditional Bayesian Approaches Using Coregionalization | |
| David Schmidt | Los Alamos National Laboratory | Bayesian Inference for the MEG/EEG Inverse Problem | |
| Steve Scott | University of Southern California | Analysis of Longitudinal Data Using Nonstationary Hidden Markov Models | |
| Ashis SenGupta | Indian Statistical Institute | Bayesian and Likelihood Methods for a Change-point Problem with Directional Data | |
| Bill Sethares | Universitiy of Wisconsin | Performance Measures for Beat Tracking | |
| Arkady Shemyakin | University of St. Thomas | Logistic Regression and Bayesian Model Selection in Estimation of Probability of Success | |
| Xiaojin Shi | University of California Santa Cruz | Untitled | |
| George Streftaris | Heriot-Watt University UK | Bayesian Analysis of Disease Transmission Dynamics under Experimental Conditions Using Stochastic Epidemic Models. | |
| Jamie Thompson | Texas A&M | A Bayesian Approach to Prediction of Stallion Daily Sperm Output | |
| Olga Vitek | Purdue University | Untitled | |
| Todd Wipke | UCSC Dept of Chemistry and Biochemistry | High-Throughput Screening for Drugs Using Data Pipelining with 3D Fingerprints | |
| Lihua Yao | CTB-McGraw-Hill | Markov Chain Monte Carlo Methodology Application in Multidimensional IRT | |
| Xingyou Zhang | University of Cincinnati | Modeling Spatial Associations in Spatial Interaction Data: A Bayesian Approach | |
| Jing Zhu | University of California at San Francisco | Using Bayesian Network Learning to Model Yeast Transcriptional Response to Nitrogen Oxide | |
