PS : Alice le Brigant (Univ. Paris 1) : Fisher information geometry of Dirichlet distributions
Bâtiment Fermat, salle 4205The Fisher information can be used to define a Riemannian metric to compare probability distributions inside a parametric family. The most well-known example is the case of (univariate) normal distributions, where the Fisher information induces hyperbolic geometry. In this talk