September 25
| 1:30 - 3:00 pm |
Tutorial 1: Introduction to Stochastic Computation John Monahan, North Carolina State University |
| 3:30 - 5:00 pm |
Tutorial 2 (Part 1): Introduction to Gibbs Sampling and Markov
Chain Monte Carlo Methods Alan Gelfand, Duke University |
September 26
| 8:30 - 10:00 am |
Tutorial 2 (Part 2): MCMC with Applications to Hierarchical Models
Brad Carlin, University of Minnesota |
| 10:30 am -12:30 pm |
Tutorial 3: Overview of Perfect Simulation Methods Duncan Murdoch, University of Western Ontario |
| 2:30 - 3:30 pm |
Tutorial 4 (Part 1): From Chain Polymers To Nonlinear Dynamic Systems: An introduction to Sequential Monte Carlo Jun Liu, Harvard University |
| 4:00 - 5:30 pm |
Tutorial 4 (Part 2): Sequential Sampling Techniques Simon Godsill, Cambridge University |
September 27
| 9:30 - 11:30 am |
Tutorial 5: Aspects of Computation for Genomic Variation
Data Simon Tavare, University of Southern California |
| 1:30 - 3:00 pm |
Tutorial 6 (Part 1): Advanced Monte Carlo Methods Peter Green, University of Bristol |
| 3:30 pm - 4:30 pm |
Tutorial 6 (Part 2):Some Advanced MCMC Techniques Jun Liu, Harvard University |
Stochastic Computation Program Home Page
Entire site © 2001-2002, Statistical and Applied Mathematical Sciences Institute. All Rights Reserved.