Working Group on Model-Based Clustering

The 28th Summer Working Group on Model-Based Clustering will be held remotely via Zoom on July 25–26, 2022.


Day	Time	Speaker	Title


Monday (Bettina Grün)	4:00pm – 5:20pm	Christian Hennig	Advances in using cluster analysis for species delimitation


	5:45pm – 6:10pm	Michael Fop	Model-based clustering of mixed-type data via mixtures of mixed graphical models


	6:10pm – 6:35pm	Claire Gormley	A family of mixture models for beta valued DNA methylation data


	6:35pm – 7:00pm	Cinzia Viroli	Dealing with overdispersion in multivariate count data

Tuesday (Brendan Murphy)	4:00pm – 5:20pm	Adrian Raftery	Easily computed marginal likelihoods from MCMC for mixture models


	5:45pm – 6:20pm	Poster session 1 Václav Šmídl Andrew Simpson Tamo Tchomgui Jean Steve Milan Papež Andrea Rau	(5 posters x 5 min + 10 min discussion/questions) Model-based clustering for point pattern data Identifying subpopulations of hierarchically structured data using a semi-supervised mixture modeling approach Mixture of function on functions regression models Reducing the cost of fitting mixture models via stochastic sampling A hierarchical Bayesian mixture model for predicting phenotypes from genomic data with prior biological information


	6:25pm – 7:00pm	Poster session 2 Tin Lok James Ng Brendan Murphy Martial Amovin-Assagba Luca Scrucca	(4 posters x 5 min + 15 min discussion/questions) Mixture of normalizing flows for spherical density estimation Sparse co-clustering for count data Clustering and outlier detection in functional data Silhouette analysis for model-based clustering