Model-based Clustering and Bayesian Model Selection Working Group: Winter 1998

Fridays from 9:00am to 10:20am in room C-301, Padelford Hall, University of Washington Campus.

This quarter we will have several very interesting outside speakers, with medical and biological applications (David Baker, Virkam Chalana and David Haynor). There will be (overlapping) focuses on:

(i) mixture models (Walsh, Raftery, Baker, Fraley, Bates);
(ii) image and point pattern segmentation (Walsh, Chalana, Stanford, Haynor);
(iii) Bayes factors (Walsh, Raftery, Richardson, Fraley, Stanford);
(iv) inference for mechanistic models (Bates).

**Working Group: Winter 1998**
Date	Speaker	Topic
January 16	Danny Walsh	Detecting regularity embedded in noise in spatial point patterns using partial Bayes factors based on K-functions
January 23	Adrian Raftery	Approximate Bayes factors for the number of components in a finite mixture
January 30	David Baker, UW Biochemistry	Using mixture models to classify aminoacid sequences
February 6	Vikram Chalana, MathSoft Inc.	Medical imaging and segmentation software developments (perhaps with a demo)
February 13	Thomas Richardson	How should we interpret the structure of a graphical model?
February 20	Chris Fraley	Model-based clustering using EM and Bayesian model selection: Applications to astronomy and real-time imaging
February 27	Derek Stanford	Determining the number of features in an image using approximate Bayes factors
March 6	David Haynor, UW Medical Center	Problems in medical imaging
March 13	Simon Byers	Clusterwise regression via mixture models

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