29 citations · 31 across the 4 of their papers we have counts for
5 papers
Error rate control for classification rules in multiclass mixture models
Tristan Mary-Huard, Vittorio Perduca, Gilles Blanchard +1
In the context of finite mixture models one considers the problem of classifying as many observations as possible in the classes of interest while controlling the classification er…
Comparing Model Selection and Regularization Approaches to Variable Selection in Model-Based Clustering
Gilles Celeux, Marie-Laure Martin-Magniette, Cathy Maugis-Rabusseau +1
We compare two major approaches to variable selection in clustering: model selection and regularization. Based on previous results, we select the method of Maugis et al. (2009b), w…
Hidden Markov Models with mixtures as emission distributions
Stevenn Volant, Caroline Bérard, Marie-Laure Martin-Magniette +1
In unsupervised classification, Hidden Markov Models (HMM) are used to account for a neighborhood structure between observations. The emission distributions are often supposed to b…
Variational Bayes approach for model aggregation in unsupervised classification with Markovian dependency
Stevenn Volant, Marie-Laure Martin Magniette, Stéphane Robin
We consider a binary unsupervised classification problem where each observation is associated with an unobserved label that we want to retrieve. More precisely, we assume that ther…
Semi-parametric estimation of the hazard function in a model with covariate measurement error
Marie-Laure Martin-Magniette, Marie-Luce Taupin
We consider a model where the failure hazard function, conditional on a covariate is given by , with …