Monday
(B. Murphy)

Bettina Grün,
WU Vienna University

Without pain - mixtures of latent class models with a prior on the number of components

Pierre Latouche,
Université Clermont Auvergne

From generative models to deep generative models. Towards deep mixture models

Tuesday
(R. Nugent)

Cinzia Viroli,
Università degli Studi di Bologna

Directional distribution depth function and its application to classification

Adrian Raftery,
University of Washington

Bayesian model selection for mixture models with MCMC

Alessandro Casa,
Free University of Bozen-Bolzano

Regularization strategies for partial mixed membership models

Dimitris Karlis,
Athens University of Economics and Business

Model based clustering for spatiotemporal count data

Tanzy Love,
University of Rochester

An approach to model-based clustering of mixed-type data with variable selection

Poster session

Wednesday
(A. Raftery)

Christian Hennig,
Università degli Studi di Bologna

Variable importance in clustering, with particular attention to balancing variable importance in mixed type variable clustering

Brendan Murphy,
University College Dublin

The unreasonable effectiveness of k-means clustering

Antonio Punzo,
Università degli Studi di Catania

Model-based clustering via parsimonious mixtures of dimension-wise scaled normal mixtures

Bei Jiang,
University of Alberta

Envelope-based growth mixture modelling with non-ignorable missingness

Vincent Vandewalle,
Université Côte d’Azur

Multiple partition clustering

Software session

Thursday
(B. Grün)

Luca Scrucca,
Università degli Studi di Perugia

Mixture-based estimation of entropy and its applications

Michael Fop,
University College Dublin

Latent shrinkage variable models for dimension reduction and clustering of network data

Derek Young,
University of Kentucky

Towards generalized fiducial inference for finite mixtures

Christophe Biernacki,
Université Lille 1

Gaussian based visualization of Gaussian and non-Gaussian based clustering

Volodymyr Melnykov,
University of Alabama

Applications of finite mixture models in stylometry

Friday
(L. Scrucca)

Cristina Tortora,
San José State University

Component-wise flexible tail behavior in model-based clustering

Daniel Sewell,
University of Iowa

Divisive hierarchical Bayesian clustering with methods for longitudinal and time-to-event data