Working group home page | Adrian Raftery | Statistics Department | CSSS | University of Washington

Working Group on Model-Based Clustering Summer Session: Ann Arbor, July 15-21, 2018

The 25th Summer Working Group on Model-Based Clustering will be held in Ann Arbor (USA) from July 15 to July 21, 2018. It will start with an opening social event on Sunday July 15, sessions in the mornings Monday-Friday July 16-20, and a hike on Saturday July 21.

The scientific committee consists of Charles Bouveyron, Gilles Celeux, Brendan Murphy, Adrian Raftery and Luca Scrucca.

Venue and accomodations

Venue and local accomodation information will be available here.

Program

Working Group Sessions: Monday-Friday, July 16-20, 2018




Day Time Speaker Title








Monday (G. Celeux)
9:00-10:20 Volodymyr Melnykov, University of Alabama On model-based clustering of high-dimensional objects



10:40-12:00 Elena Erosheva, University of Washington Partial-Mastery Cognitive Diagnosis Models




Tuesday (A. Raftery)
9:00-10:20 Faicel Chamroukhi, Université de Caen Model-based co-clustering and mixtures of experts in some high-dimensional scenarios



10:40-10:55 Luca Scrucca, Università degli Studi di Perugia Model-based clustering vs Fuzzy clustering: a simulation comparison



11:00-11:15 Tanzy Love, University of Rochester Bayesian Dimension and Variable Selection for Model-Based Clustering



11:20-11:35 Bei Jiang, University of Alberta A Joint Modeling Approach for Baseline Matrix-valued Imaging Data and Treatment Outcome using Multilinear Principal Components



11:40-11:55 Paul McNicholas, McMaster University Finding (Possibly) Asymmetric Clusters in Three-Way Data



14:00-16:00 Poster session




Wednesday (B. Murphy)
9:00-10:20 Pierre Latouche, Université Paris 1 Multiple change points detection and clustering in dynamic networks



10:40-10:55 Adrian Raftery, University of Washington Who Invented Model-Based Clustering?



11:00-11:15 Pierre-Alexandre Mattei, IT University Copenhaguen What can deep learning bring to model-based clustering?



11:20-11:35 Bettina Gruen, University Linz Learning the number of components and data clusters in Bayesian finite mixture models



11:40-11:55 Brendan Murphy, University College Dublin Model-based clustering of hypergraph data



14:00-16:00 Software session




Thursday (C. Bouveyron)
9:00-10:20 Charles Bouveyron, Université Côte d'Azur & Inria The Latent Topic Block Model



10:40-10:55 Gongjun Xu, University of Michigan PIdentifiability of Restricted Latent Class Models



11:00-11:15 Julien Jacques, Université Lyon 2 Model-based co-clustering for mixed type data



11:20-11:35 Gilles Celeux, Inria Dealing with missing data in model-based clustering through a MNAR model



11:40-11:55 Veronica Berrocal, Michigan University Bayesian modeling of non-stationary spatial processes via domain segmentation




Friday (L. Scrucca)
9:00-10:20 David Hunter, Penn State University Multivariate Nonparametric Mixture Models



10:40-12:00 Michael Fop, University College Dublin Challenges in High-dimensional Model-based Discriminant Analysis




Last updated March, 3, 2018.