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Working Group on Model-Based Clustering Summer Session: Guelph, July 16-20, 2012

The 19th Summer Working Group on Model-Based Clustering will be held in University of Guelph from July 16-20, 2012. The sessions will be at the School of Mathematics and Statistics at the University of Guelph, and accomodation will be available close to the campus; accommodation and travel details are available at this link. The organizing committee this year consists of Gilles Celeux, Brendan Murphy, Paul McNicholas and Adrian Raftery.

It will start with an opening social event on Sunday July 15, sessions in the mornings Monday-Friday July 16-20, and a hike on Saturday July 21.

Working Group Sessions: Monday-Friday, July 16-20, 2012
Day (Chair) Time Speaker Topic
Monday (Gilles Celeux) 9:00-10:20 Sam Clark, University of Washington Exploring uses of model-based clustering in demography: age patterns of mortality, causes of death and household socio-economic status
10:40-12:00 Paul McNicholas, University of Guelph Generalized hyperbolic distributions
Tuesday (Paul McNicholas) 9:00-10:20 Christophe Ambroise, Genopole, CNRS New consistent and asymptotically normal parameter estimates for random-graph mixture models
10:40-10:55 Adrian Raftery, University of Washington Inference for biological networks via Bayesian model averaging
11:00-11:15 Dimitris Karlis, Athens University of Economics and Business & Ioannis Kosmidis, University College London Mixture modelling through copulas
11:20-11:35 Brendan Murphy, University College Dublin Variable selection for HILIC glycan data for biomarker discovery
11:40-11:55 Cinzia Viroli, Università Di Bologna On the infinite Gaussian Mixture model and its dimensionally reduced extensions
12:30 Working Group Lunch
14:00-16:00 Poster Session
Wednesday (Brendan Murphy) 9:00-10:20 Sanjeena Subedi, University of Guelph Variational Bayes approximations for parameter estimation and model selection
10:40-10:55 Isabella Gollini, National University of Ireland Maynooth Joining latent variable models for Network data
11:00-11:15 Elena Erosheva, University of Washington Partial membership clustering for mixed outcomes
11:20-11:35 Gilles Celeux, INRIA Futurs, Orsay Bayesian regularisation for the latent class model
11:40-11:55 Caroline Meynet, Université Paris XI - Paris Sud Variable selection via l1-regularization in model-based clustering
14:00-16:00 mclust Session
Thursday (Adrian Raftery) 9:00-10:20 Tristan Mary-Huard, AgroParisTech Error rate control for multi-class classification rules
10:40-10:55 Charles Bouveyron, Université Paris 1 Clustering of heterogeneous data with parsimonious Gaussian process models
11:00-11:15 Bettina Grün, Johannes Kepler Universität Linz Flexible modeling of mixtures of regressions
11:20-11:35 Giuliano Galimberti, Università Di Bologna Using mixtures to model non-Gaussian errors in multivariate linear regression
11:40-11:55 Stéphane Robin, AgroParisTech Averaging mixture models using a variational approximation
19:00 Working Group Dinner
Friday (Geoff McLachlan) 09:00-10:20 Pierre Latouche, Université Paris 1 A model selection criterion for overlapping stochastic block models with L2 constraints
10:40-12:00 Ryan Browne, University of Guelph Estimation algorithms for Gaussian parsimonious clustering models
Saturday All day Working Group Hike

Last updated April 2nd, 2012