(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.
Lieu
Room 17, Séminaire des doctorants
Organisé par
Section de mathématiquesIntervenant-e-s
Grégoire Clarté, Université Paris Dauphineentrée libre
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