(Approximate) Bayesian inference (Grégoire Clarté, Université Paris Dauphine)

18.03.2019 17:00

After introducing briefly the Bayesian point of view on statistics. On several examples we will introduce two numerical methods used in different situations : Gibbs sampler and ABC. We will try to introduce our new sampling method, combining both previous methods : ABC within Gibbs, and give some elements on the analysis of this method.


Room 17, Séminaire des doctorants

Organisé par

Section de mathématiques


Grégoire Clarté, Université Paris Dauphine

entrée libre


Catégorie: Séminaire

Mots clés: graduate seminar

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