Working Group on Model-Based Clustering

The 30th Summer Working Group on Model-Based Clustering will be held in Bertinoro (Italy), from July 22 to July 26, 2024.

The scientific committee consists this year of Luca Scrucca, Charles Bouveyron, Gilles Celeux, Bettina Grün, Brendan Murphy, Rebecca Nugent, Adrian Raftery, Angela Montanari, Cinzia Viroli, and Laura Anderlucci.

Venue, Accommodations, and Social activities

Program

Day	Time	Speaker	Title
Monday (A. Montanari)	09:00-10:20	Michael Fop University College Dublin	Overlapping model-based clustering of network data
	10:40-12:00	Daniele Durante Università Bocconi	Bayesian nonparametric stochastic block modeling of criminal networks
Tuesday (A. Raftery)	09:00-10:20	Laura Anderlucci Università degli Studi di Bologna	Model-based clustering of high dimensional data via Random Projections
	10:40-10:55	Julien Jacques Université de Lyon	Mixture of regression for functional data
	11:00-11:15	Qing Mai Florida State University	Model-based low-rank tensor clustering
	11:20-11:35	Gertraud Malsiner-Walli WU Vienna University	Multivariate mixed type longitudinal data and model-based clustering
	11:40-11:55	Angela Montanari Università degli Studi di Bologna	The written Italian of university students: identification of tendencies via mixtures of GLLVM for count data
	14:00-16:00	Poster session
Wednesday (B. Murphy)	9:00-10:20	Adrian Raftery University of Washington	Marginal likelihoods for model selection in mixture models from MCMC using the THAMES estimator
	10:40-10:55	Pierre Latouche Université Clermont Auvergne	The deep-latent position block model for network visualisations compatible with block structures
	11:00-11:15	Christian Hennig Università degli Studi di Bologna	Nonparametric consistency for maximum likelihood estimation and clustering based on mixtures of elliptically-symmetric distributions
	11:20-11:35	Keefe Murphy Maynooth University	Automatic mixtures of regularised experts
	11:40-11:55	Bettina Grün WU Vienna University	CLiPS - Clustering in the parameter space
	14:00-16:00	Software session
Thursday (B. Grün)	09:00-10:20	Brendan Murphy University College Dublin	An unsupervised record linkage approach using household information to enhance individual matching across different databases
	10:40-10:55	Dimitris Karlis Athens University of Economics and Business	Dyadic multivariate mixture models for the analysis of elite swimmers
	11:00-11:15	Sylvia Frühwirth-Schnatter WU Vienna University	A Bayesian approach toward mixtures of factor analyser where the number of clusters and factors is unknown
	11:20-11:35	Aaron Molstad University of Minnesota	A mixture model approach to high-dimensional multivariate categorical response regression
	11:40-11:55	Luca Scrucca Università degli Studi di Perugia	A model-based approach to shot charts estimation in basketball
Friday (L. Scrucca)	09:00-10:20	Alessandro Casa Università di Bergamo	Sparse model-based clustering of three-way data via lasso-type penalties
	10:40-12:00	Claire Gormley University College Dublin	Constrained model-based clustering for hyperspectral images

Working Group on Model-Based Clustering Summer Session: Bertinoro, July 22-26, 2024

Venue, Accommodations, and Social activities

Program