Statistical and Applied Mathematical Sciences Institute
19 T. W. Alexander Drive
P.O. Box 14006
Research Triangle Park, NC 27709-4006
Tel: 919.685.9350 FAX: 919.685.9360
[email protected]

Challenges in Stochastic Computation
POSTER PRESENTATIONS

8 pm - 11 pm, Saturday, September 28, 2002

• Price Elasticity of the Demand for Water: A Meta-Analysis
  Gail Blattenberger (University of Utah)
  
  
• A Bayesian Approach for Assessing Heterogeneity in Generalized Linear Models
  Zhen Chen (National Institute of Environmental Health Sciences)
  
  
• A Statistical Approach to the Stommel Gulf Stream Model
  Seo-eun Choi (Florida State University)
  
  
• MCMC for a distribution over random graphs: fitting a selection model to allele data
  Nicolean Cloete (University of Auckland)
  
  
• Space-time Modelling of Sydney Harbour Winds
  Ed Cripps (University of New South Wales)
  
  
• Performance of MCMC techniques for parameter estimation of nonlinear stochastic dynamical systems
  Milena Cuellar (London School of Economics)
  
  
• Bayesian Inference and Prediction of Gaussian Random Fields Based on Censored Data
  Victor De Oliveira (University of Arkansas)
  
  
• A Comprehensive Stochastic Risk Model for the Hanford Nuclear Site
  Dave Engel (Pacific Northwest Laboratories)
  
  
• Efficient Sampling from nonstandard distributions using neural network approximations
  Lennart Hoogerheide (Erasmus University Rotterdam)
  
  
• Scaling Up Bayesian Model Averaging
  Christine Kohnen (Duke University)
  
  
• Image simulation based on natural microimage statistics
  Alexey Koloydenko (University of Chicago)
  
  
• Analysis and Simulation of Birth Death Processes
  Gopal Kunasekaran (Salem Sowdesari College)
  
  
• Sequential Monte Carlo calibration of stochastic volatility models for interest rate term structure
  Beom Lee (University of North Carolina-Chapel Hill)
  
  
• Resampling in pairwise relationship inference
  Li Li (North Carolina State University)
  
  
• An Effective Bayesian Neural Network Classifier with Comparison to Support Vector Machines
  Faming Liang (National University of Singapore)
  
  
• A Bayesian Population Approach to Modelling Bioaccumulation of Polycyclic Aromatic Hydrocarbon in an Aquatic Food Web
  Hsin-I Lin (Tulane University)
  
  
• BMM: A Simple, General Algorithm for Drawing from Densities
  Rob McCulloch (University of Chicago)
  
  
• Some perfect sampling algorithms on continuous state spaces
  Faheem Mitha (University of North Carolina, Chapel Hill)
  
  
• MCMC Sampling under Multiple Constraints
  German Molina (Duke University)
  
  
• Small Sets and Domination in Perfect Simulation
  Giovanni Montana (University of Chicago)
  
  
• Queueing - The Wide Gap between Data & Models
  Vaidyanathan Ramaswami (AT&T Labs)
  
  
• Distance-based Model Selection with Application to the Analysis of Gene Expression Data
  Surajit Ray (Pennsylvania State University)
  
  
• Efficient Gibbs Sampler implementations to the Constrained Normal Linear Regression Model
  Gabriel Rodrigues-Yam (Colorado State University)
  
  
• The problem of estimation and inference under incomplete information, with application to rapid assessment and emergency response
  Anupam Tyagi (University of Utah)
  
  
• Some Empirical Results using Adaptive Polar Sampling
  Rutger Van Oest (Erasmus University Rotterdam)
  
  
• MCMC Techniques in Veterinary Diagnostir Test Validation
  Didier Verloo (Institute of Tropical Medicine)
  
  
• Wheat production forecast using remote sensing and weather variable : zonal basis analysis in Haryana state
  Urmil Verma (Haryana Agricultural University)
  
  
• Efficient Stochastic Computation for Audio Signal Processing
  Patrick Wolfe (University of Cambridge)