6 citations · 6 across the 2 of their papers we have counts for
3 papers
stat.ME2018
A tractable Multi-Partitions Clustering
Matthieu Marbac, Vincent Vandewalle
In the framework of model-based clustering, a model allowing several latent class variables is proposed. This model assumes that the distribution of the observed data can be factor…
stat.CO2017★ 6 cited
Variable selection for mixed data clustering: a model-based approach
Matthieu Marbac, Mohammed Sedki
We propose two approaches for selecting variables in latent class analysis (i.e.,mixture model assuming within component independence), which is the common model-based clustering m…
stat.AP2015
Bayesian model selection in logistic regression for the detection of adverse drug reactions
Matthieu Marbac, Pascale Tubert-Bitter, Mohammed Sedki
Motivation: Spontaneous adverse event reports have a high potential for detecting adverse drug reactions. However, due to their dimension, exploring such databases requires statist…