Our summer session will focus on model-based clustering and applications. There will be about 8 "long" talks (sessions of about 80 minutes) and about 8 short talks (15 minutes each, plus some discussion). There will be several visitors, and there has been quite a bit of progress to report, so it should be exciting. Watch this space for details as they become known.
| Day (Chair) | Time | Speaker | Topic |
|---|---|---|---|
| Monday (Adrian Raftery) | 9:00-10:20am | Fionn Murtagh, Queen's University Belfast | Overcoming the curse of dimensionality in clustering by means of the wavelet transform |
| 10:40am-Noon | Bo Thiesson, Microsoft Research | Accelerating EM for Large Databases | |
| Tuesday (Fionn Murtagh) | 9:00-10:20am | John Castelloe, SAS Institute | MCMC and EM approaches to model-based clustering, applied to a spatial cluster process |
| 10:40-10:55am | Alejandro Murua, University of Washington | Applications of model-based clustering to speech recognition | |
| 11:00-11:15am | Halima Bensmail, University of Leiden | Kernel-Discriminant analysis of mixed data with optimal scaling | |
| 11:20-11:35am | Russell Steele, University of Washington | Using Importance Sampling to Calculate Bayes Factors for Gaussian Mixture Models | |
| 11:40-11:55am | Manisha Desai and Mary Emond, University of Washington | Bayes factors via importance sampling for clustering of genetic defects in cancer | |
| Wednesday (Mary Emond) | 9:00-10:20am | Usama Fayyad, Microsoft Research | Density-Based indexing for nearest neighbor queries |
| 10:40am-Noon | Chris Fraley, University of Washington and Mathsoft, Inc. | Model-based clustering with dissimilarities | |
| Thursday (Merlise Clyde) | 9:00-10:20am | Florence Forbes and Nathalie Peyrard, INRIA Rhone-Alpes | Mean Field Approximation Principle and Markov Random Field Model-based Image Segmentation |
| 10:40-10:55am | Naisyin Wang, Texas A&M University | Robust covariance estimation using nearest neighbor cleaning | |
| 11:00-11:15am | Danny Walsh, University of Washington | Modeling features with linear characteristics in spatial point patterns | |
| 11:20-11:35am | Samantha Bates, University of Washington | A Bayesian approach to environmental and human health risk assessment models | |
| 11:40-11:55am | Greg Warnes, University of Washington | Hastings Coupling: A Parallel Algorithm for Markov Chain Monte Carlo | |
| Friday (Chris Fraley) | 9:00-10:20am | Merlise Clyde, Duke University | Combining ridge regression and Bayesian model averaging |
| 10:40am-Noon | Andre Berchtold, University of Washington | A full Markovian model for non-homogeneous time-series |
Click here to return to the Model-Based Clustering Working Group homepage.
Click here to go to Adrian Raftery's home page.
Click here to go to the Statistics Dept. home page.
Click here to go to the University of Washington home page.