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Working Group on Model-Based Clustering Summer Session: Edmonton, July 20-24 2026

The 33rd Summer Working Group on Model-Based Clustering will be held at University of Alberta, Edmonton (Canada), from July 20 to July 24, 2026.

The scientific committee consists this year of Luca Scrucca, Charles Bouveyron, Gilles Celeux, Bettina Grün, Brendan Murphy, Rebecca Nugent, Adrian Raftery, Cinzia Viroli, Bei Jiang.

Venue, Accommodations, and Social activities

The WGMBC will be hosted at the Department of Mathematical and Statistical Sciences, University of Alberta, Edmonton, Alberta, Canada T6G 2N8.

Program

Working Group Sessions: Monday-Friday, July 20-24, 2026
Day Time Speaker Title
Monday
(B. Jiang)
09:00-10:20 Brendan Murphy
(University College Dublin)
Model-based clustering of mortality data across periods and countries
10:40-12:00 David Dahl
(Brigham Young University)
Subjective exchangeable partition priors via integer partitions
Tuesday
(R. Nugent)
09:00-10:20 Gonzalo Mena
(Carnegie Mellon University)
On model-based clustering with entropic optimal transport
10:40-12:00 Martin Metodiev
(Université Clermont Auvergne)
Simulation-consistent estimation of the exact marginal likelihood for block models
14:00-16:00 Poster session [Cancelled]
Wednesday
(B. Murphy)
9:00-10:20 Bei Jiang
(University of Alberta)
Achieving fairness in AI with synthetic data
10:40-10:55 Luca Scrucca
(Università di Bologna)
Mixture-based estimation of multivariate data hypervolume
11:00-11:15 Bettina Grun
(WU Vienna University)
Bayesian model-based clustering of matrix-variate data
11:20-11:35 Joshua Loyal
(Joshua Loyal)
The Metropolis-Hastings algorithm as a component of a data-generating process with applications to longitudinal clustering
11:40-11:55 Adrian Raftery
(University of Washington)
Approximating the marginal likelihood for mixture models via the THAMES estimator
14:00-16:00 Software session
Thursday
(A. Raftery)
09:00-10:20 Tyler McCormick
(University of Washington)
Robustly estimating heterogeneity in factorial data using Rashomon Partitions
10:40-10:55 Naisyin Wang
(University of Michigan)
Leveraging clustering approaches in privacy-preserved strategies
11:00-11:15 Cinzia Viroli
(Università di Bologna)
A latent editing mixture model for clustering DNA reads
11:20-11:35 Michael Pearce
(Reed College)
Bayesian rank-clustering of treatments from analyses of clinical trials data
11:40-11:55 Pierre Latouche
(Université Clermont Auvergne)
Efficient embedding reconstruction for model based clustering in graphs through random field diffusion
Friday
(C. Viroli)
09:00-10:20 Michael Fop
(University College Dublin)
Data compression for clustering high-dimensional discrete data
10:40-10:55 Julien Jacques
(Université Lumière Lyon 2)
Modeling dependence between ordinal variables
11:00-11:15 Michael Gallaugher
(Baylor University)
Model selection via an adaptive algorithm for parsimonious mixtures of skewed bilinear factor analyzers
11:20-11:35 Laura Anderlucci
(Università di Bologna)
Model-based clustering of functional data via random projections


Last updated: July 17, 2026