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Working Group on Model-Based Clustering Summer Session: Vienna, July 14-20, 2019

The 26th Summer Working Group on Model-Based Clustering will be held in Vienna (Austria) from July 14 to July 20, 2019. It will start with an opening social event on Sunday July 14, sessions in the mornings Monday-Friday July 15-19, and a hike on Saturday July 20.

The scientific committee consists this year of Charles Bouveyron, Gilles Celeux, Bettina Grün, Gertraud Malsiner, Brendan Murphy, Rebecca Nugent, Adrian Raftery and Luca Scrucca.

Venue and accomodations

Information about venue and local accomodations are available here:


Day Time Speaker Title

Monday (C. Bouveyron)
9:00-10:20 Riccardo Rastelli Recent developments and extensions of the latent position network model

10:40-12:00 Bettina Grün, University Linz Finite and infinite mixtures

Tuesday (A. Raftery)
9:00-10:20 Christian Hennig, Università di Bologna Some thoughts on simulation studies to compare clustering methods

10:40-10:55 Luca Scrucca, Università degli Studi di Perugia Mutual Information Estimation via Gaussian Mixture Modelling

11:00-11:15 Julien Jacques, Université de Lyon Self-Organized Co-Clustering for textual data synthesis

11:20-11:35 Claire Gormley, University College Dublin Recent advances in model-based clustering for high dimensional data

11:40-11:55 Florence Forbes, Inria Bayesian mixtures of multiple scale distributions

14:00-16:00 Poster session

Wednesday (B. Murphy)
9:00-10:20 Sylvia Fruehwirth-Schnatter, Wirtschaftsuniversität Wien Bayesian Model Selection for Mixture Models - Strategies and Perspectives

10:40-10:55 Gilles Celeux, Inria Dealing with missing data in model-based clustering through a MNAR model

11:00-11:15 Rebecca Nugent, Carnegie Mellon University Variable section for model-based clustering based on agreement

11:20-11:35 Michael Fop, University College Dublin Infinite latent position cluster model for networks

11:40-11:55 Charles Bouveyron, Université Côte d'Azur & Inria Towards a topic-aware recommender system

14:00-16:00 Software session

Thursday (B. Grün)
9:00-10:20 Adrian Raftery, University of Washington Estimating emigration and return migration for all pairs of countries: A mover-stayer mixture model approach.

10:40-10:55 Gertraud Malsiner-Walli , WU Vienna University Shrinkage Priors for the Bayesian Latent Class Model

11:00-11:15 Brendan Murphy, University College Dublin Weighted stochastic block model

11:20-11:35 Martyn Plummer, University of Warwick Mixture Models in JAGS

11:40-11:55 Dimitris Karlis, Athens University of Economics and Business Model based clustering for categorical time series

Friday (R. Nugent)
9:00-10:20 Cinzia Viroli, Università di Bologna Recent advances in Deep Mixture Models

10:40-12:00 Stéphane Robin, Inra Tree-based mixtures with applications in ecology and epidemiology

Last updated May, 29, 2019.