. The Mathematical structure of the Bayesian model and the main concepts (sufficiency, ancillarity, invariance...)
. Representation of the Dirichlet processes and of the associated Polya urn model and applications to nonparametric bayesian analysis.
. Contributions to duration models and to their non parametric bayesian treatment.
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