Working Group on Model-Based Clustering, Summer 2016

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

Working Group on Model-Based Clustering Summer Session: Paris, July 17-23, 2016

The 23rd Summer Working Group on Model-Based Clustering will be held in Université Paris Descartes from July 18-22, 2016. The organizing committee this year consists of Charles Bouveyron, Gilles Celeux, Brendan Murphy, Adrian Raftery, Luca Scrucca and Naisyin Wang.

It will start with an opening social event on Sunday July 17, sessions in the mornings Monday-Friday July 18-22, and a hike on Saturday July 23.

Working Group Sessions: Monday-Friday, July 18-22, 2016
Day (Chair) Time Speaker Topic

Monday (Brendan Murphy) 9:00-10:20 Adrian Raftery, University of Washington Dynamic latent space models for bipartite networks with application to interlocking company directorships

10:40-12:00 Charles Bouveyron, Université Paris Descartes The stochastic topic block model for the clustering of networks with textual edges

Tuesday (Luca Scrucca) 9:00-10:20 Radu Horaud, INRIA Rhône-Alpes Model-based clustering opportunities in audio-visual scene understanding

10:40-10:55 Brendan Murphy, University College Dublin A latent space stochastic blockmodel for stochastic networks

11:00-11:15 Gertraud Malsiner-Walli, Johannes Kepler University, Linz Effect fusion using sparse finite mixtures

11:20-11:35 Christine Keribin, Université Paris-Sud Consistency and asymptotic normality of LBM estimators

11:40-11:55 Naisyin Wang, University of Michigan Utilizing latent features in clustered longitudinal/functional data

12:15 Working Group Lunch

14:00-17:00 Poster Session

Wednesday (Adrian Raftery) 9:00-10:20 Jean-Michel Marin, Université de Montpellier Bayesian inference for mixture models in large dimension, what to expect and to do

10:40-10:55 Cinzia Viroli, Università di Bologna The importance of being clustered: Uncluttering the trends of statistics from 1970 to 2015

11:00-11:15 Gilles Celeux, INRIA Futurs Comparing EM with a greedy search algorithm to optimize ICL for Poisson mixture models

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

11:40-11:55 Sylvia Frühwirth-Schnatter, Wirtschaftuniversität Wien Some recent advances in sparse finite mixtures

14:00-16:00 Software for model-based clustering

Thursday (Charles Bouveyron) 9:00-10:20 Luca Scrucca, Università degli Studi di Perugia On some recent improvements to mixture modeling estimation: Gaussian hierarchical partitions based on data transformations and evolutionary EM

10:40-10:55 Julien Jacques, Université de Lyon - Lumière Co-clustering for ordinal data

11:00-11:15 Michael Fop, University College Dublin Model-based clustering with sparse covariance matrices

11:20-11:35 Florence Forbes, INRIA Rhône-Alpes Student Sliced Inverse Regression

11:40-11:55 Damien McParland, University College Dublin Recent developments and applications of the clustMD model

19:30 Working Group Dinner

Friday (Gilles Celeux) 09:00-10:20 Julie Josse, Agrocampus Ouest, Rennes Multiple correspondence analysis and the multilogit model

10:40-12:00 Christophe Biernacki, Université Lille 1 Pitfalls in mixtures from the clustering angle

Saturday All day Working Group Hike

**Working Group Sessions: Monday-Friday, July 18-22, 2016**
Day (Chair)	Time	Speaker	Topic
Monday (Brendan Murphy)	9:00-10:20	Adrian Raftery, University of Washington	Dynamic latent space models for bipartite networks with application to interlocking company directorships
	10:40-12:00	Charles Bouveyron, Université Paris Descartes	The stochastic topic block model for the clustering of networks with textual edges
Tuesday (Luca Scrucca)	9:00-10:20	Radu Horaud, INRIA Rhône-Alpes	Model-based clustering opportunities in audio-visual scene understanding
	10:40-10:55	Brendan Murphy, University College Dublin	A latent space stochastic blockmodel for stochastic networks
	11:00-11:15	Gertraud Malsiner-Walli, Johannes Kepler University, Linz	Effect fusion using sparse finite mixtures
	11:20-11:35	Christine Keribin, Université Paris-Sud	Consistency and asymptotic normality of LBM estimators
	11:40-11:55	Naisyin Wang, University of Michigan	Utilizing latent features in clustered longitudinal/functional data
	12:15		Working Group Lunch
	14:00-17:00		Poster Session
Wednesday (Adrian Raftery)	9:00-10:20	Jean-Michel Marin, Université de Montpellier	Bayesian inference for mixture models in large dimension, what to expect and to do
	10:40-10:55	Cinzia Viroli, Università di Bologna	The importance of being clustered: Uncluttering the trends of statistics from 1970 to 2015
	11:00-11:15	Gilles Celeux, INRIA Futurs	Comparing EM with a greedy search algorithm to optimize ICL for Poisson mixture models
	11:20-11:35	Claire Gormley, University College Dublin	MBCbigP: model based clustering for high dimensional data
	11:40-11:55	Sylvia Frühwirth-Schnatter, Wirtschaftuniversität Wien	Some recent advances in sparse finite mixtures
	14:00-16:00		Software for model-based clustering
Thursday (Charles Bouveyron)	9:00-10:20	Luca Scrucca, Università degli Studi di Perugia	On some recent improvements to mixture modeling estimation: Gaussian hierarchical partitions based on data transformations and evolutionary EM
	10:40-10:55	Julien Jacques, Université de Lyon - Lumière	Co-clustering for ordinal data
	11:00-11:15	Michael Fop, University College Dublin	Model-based clustering with sparse covariance matrices
	11:20-11:35	Florence Forbes, INRIA Rhône-Alpes	Student Sliced Inverse Regression
	11:40-11:55	Damien McParland, University College Dublin	Recent developments and applications of the clustMD model
	19:30		Working Group Dinner
Friday (Gilles Celeux)	09:00-10:20	Julie Josse, Agrocampus Ouest, Rennes	Multiple correspondence analysis and the multilogit model
	10:40-12:00	Christophe Biernacki, Université Lille 1	Pitfalls in mixtures from the clustering angle
Saturday	All day		Working Group Hike

Last updated June 20th, 2016