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Adrian Raftery |

Statistics Department |

University of Washington

Working Group on Model-based Clustering
Summer session: July 21-25, 2003

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 methodology and applications, including gene expression microarray data and image analysis. There will be eight "long" talks (sessions of about 80 minutes, hopefully divided about equally between presentation and discussion), and eight 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.

Working Group: Monday-Friday, July 21-25, 2003

Day (Chair)

Time

Speaker

Topic

Monday

(Raftery)

9:00-10:20

Brendan Murphy

Trinity College, Dublin

Using Unlabelled Data to Update Classification Rules (With Applications)

 

10:40-Noon

Christian Hennig

ETH Zurich

Breakdown Points for Model-Based Cluster Analysis

Tuesday

(Ruzzo)

9:00-10:20

Chris Fraley

University of Washington

Model-based Clustering for Large Datasets with Small Clusters

 

10:40-10:55

Naisyin Wang

Texas A&M University

Some Applications of Model Based Clustering to Classifying Array Samples

 

11:00-11:15

Marc Scott

New York University

Modelling Discrete Change Points Using Model-Based Clustering: an Augmented Linear Mixed-Effects Model

 

11:20-11:35

Hana Sevcikova

Universität der Bundeswehr Hamburg

Testing Against Nonparametric Alternatives in Mixture Models

 

11:40-11:55

Yulia Gel

University of Washington

Bias Correction in Numerical Weather Prediction Using Methods of Modern Multiple Regression and Spatial Composition of Neighbors

Wednesday

(Wang)

9:00-10:20

Russell Steele

McGill University

The Effect of Prior Choice on Determining the Number of Components in Finite Mixture Models

 

10:40-Noon

Nathalie Peyrard

IRISA/INRIA

Video Summarization Based on Probabilistic Motion Modeling

Thursday

(Stephens)

9:00-10:20

Larry Ruzzo

University of Washington

Improved Gene Selection for Classification of Microarrays

 

10:40-10:55

Johanna Hardin

Pomona College

Using the T-Distribution to Simulate Microarray Data

 

11:00-11:15

Nema Dean

University of Washington

Variable Selection in Model-Based Clustering

 

11:20-11:35

Raphael Gottardo

University of Washington

Robust Estimation of cDNA Microarray Intensities

 

11:40-11:55

Qunhua Li

University of Washington

Model-Based Segmentation on Microarray Images

Friday

(Fraley)

9:00-10:20

Monnie McGee

Southern Methodist University

Mixture Transition Monte Carlo: Making MCMC Move

 

10:40-Noon

Matthew Stephens

University of Washington

Spatial Modelling for Multinomial Data (a Prelude to Mixture Modelling)