| Speakers and Topics | |
| Sept 01 Brani Vidakovic: Intro. Multiscale Statistical Methods | Sept 03 Brunero Liseo: Bayesian Analysis with Azzalinni's Families |
| Sept 08 Hedibert Lopes: Predictive Computation in Factor Models | Sept 10 Jacob Laading: Hierarchical deformation modeling for medical images |
| Sept 15 Jaeyong Lee: Acceleration of Metropolis-Hastings Algorithms | Sept 17 Merlise Clyde: Model Uncertainty and Bayesian Model Averaging |
| Sept 22 Dongchu Sun: Random Effects in Generalized Linear Mixed Models | Sept 24 Susie Bayarri: Conditional Measures of Surprise |
| Sept 29 Mike West: Multivariate Non-Gaussian Time Series: Bayesian Analysis of Longitudinal Data in a Case Study in the VA Hospital System, I | Oct 01 Mike West: Multivariate Non-Gaussian Time Series: Bayesian Analysis of Longitudinal Data in a Case Study in the VA Hospital System, II |
| Oct 06 Jim Berger: Expected Posterior Priors for Model Selection and Mixture Models I | Oct 08 Jim Berger: Expected Posterior Priors for Model Selection and Mixture Models II |
| Oct 13 OCTOBER BREAK | Oct 15 Gabriel Katul: Modeling Turbulent Transport within Forested Canopies: Why statistics? |
| Oct 20 Giovanni Parmigiani: Statistical Issues in Understanding Disease Genes, I | Oct 22 Giovanni Parmigiani: Statistical Issues in Understanding Disease Genes, II |
| Oct 27 Francesca Dominici: National Mortality, Morbidity and Air Pollution Study: Statistical Challenges | Oct 29 Peter Mueller and Don Berry: Simulation Based Sequential Design: Optimal Stopping in a Clinical Trial |
| Nov 03 Lurdes Inoue, Peter Mueller, Gary Rosner, and Mark Dewhirst: A Bayesian Model for Detecting Changes in Nonlinear Profiles | Nov 05 De Veaux, Department of Mathematics, Williams College: Hybrid Neural Networks for Environmental Process Control |
| Nov 10 Dave Higdon: Markov Random Fields and Applications in Image Analysis | Nov 12 David Conesa: Bayesian Analysis of Bulk Arrival Queues |
| Nov 17 Jamie Robins, Harvard School of Public Health: Marginal Structural Models and Causal Inference in Epidemiology | Nov 19 Peter Mueller, Brani Vidakovic: Bayesian Inference with Wavelets: Density Estimation |
| Nov 24 Jane Liu: Particle Filtering in Dynamic Models | Nov 26 THANKSGIVING BREAK |
| Dec 01 Ed Iversen: A Model for Risk of Breast Cancer | Dec 03 Jim Lynch: On the Ergodicity of General State Space Markov Chains |