Séminaire de Probabilités et Statistique :

Le 08 octobre 2012 à 15:00 - UM2 - Bât 09 - Salle 331 (3ème étage)

Présentée par Marin Jean-Michel - Université Montpellier 2

Bayesian inference on a mixture model with spatial dependence

We introduce a new technique to select the number of components of a mixture model with spatial dependence. It consists in an estimation of the Integrated Completed Likelihood based on a Laplace's approximation and a new technique to deal with the normalizing constant intractability of the hidden Potts model. Our proposal is applied to a real satellite image.