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

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

Click here to see information.

Program

Working Group Sessions: Monday-Friday, July 22-26, 2024
Day Time Speaker Title

Monday
(A. Montanari)

09:00-10:20

Michael Fop
University College Dublin

Model-based clustering of networks with compositional edges

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

Kernelized discriminant analysis for 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



Last updated: July 12, 2024