Monday-Friday (five days) from 9:00am to noon, in room C-301, Padelford Hall, University of Washington Campus.
Our summer session will focus on model-based clustering and applications (in particular to gene expression data), Bayesian model selection and averaging, and on MCMC and importance sampling methodology. There will be eight "long" talks (sessions of about 80 minutes, hopefully divided about equally between presentation and discussion), and six 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.
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Working Group: Monday-Friday, July 22-26, 2002 |
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Day (Chair) |
Time |
Speaker |
Topic |
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Monday (Adrian Raftery) |
9:00- 10:20am |
Denis Allard, INRA, Avignon, France |
Estimating and Testing Zones of Abrupt Changes for Spatial Data |
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10:40am-Noon |
Jeremy Tantrum, UW Statistics |
Hierarchical Model-Based Clustering of Large Datasets Through Fractionation and Refractionation |
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Tuesday (Matthew Stephens) |
9:00- 10:20am |
Brendan Murphy, Trinity College, Dublin |
Model-based clustering for ranking data |
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10:40- 11:00am |
Denis Allard, INRA, Avignon, France |
Clustering Geostatistical Data |
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11:05- 11:25am |
Nema Dean, Trinity College, Dublin |
Model-Based Clustering with Partial Label Information |
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11:30- 11:50am |
Adrian Raftery, UW Statistics & Sociology |
Discussion of “Bayesian Clustering” |
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Wednesday (Brendan Murphy) |
9:00- 10:20am |
Bo Thiesson, Microsoft Research |
Staged Mixture Modeling and Boosting |
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10:40am-Noon |
Florence Forbes, INRIA, Grenoble, France |
Approximations Tools for Statistical Inference in Models with Intractable Structure |
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Thursday (Florence Forbes) |
9:00- 10:20am |
Chris Fraley, UW Statistics |
The New MCLUST: Software for Model-Based Clustering, Density Estimation and Discriminant Analysis |
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10:40am- Noon |
Ka Yee Yeung, UW Microbiology |
Model-Based Clustering for Gene Expression Data |
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Friday (Chris Fraley) |
9:00- 10:20am |
Gareth James, Marshall School of Business, UCLA |
Clustering for Sparsely Sampled Functional Data |
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10:40-11:00am |
Elena Erosheva, Statistics, Carnegie Mellon University |
Latent Class and Grade of Membership Models |
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11:05- 11:25am |
Matthew Stephens, UW Statistics |
Clustering Genotype Data with the Grade of Membership model |
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11:30-11:50am |
Qunhua Li, UW Statistics |
Clustering of Gene Expression Data |