Lundi 3 décembre 2018

Organisme intervenant (ou équipe pour les séminaires internes)
Université de Lorraine, Institut Elie Cartan de Lorraine, Nancy
Nom intervenant
Radu Stoica
ABC Shadow algorithm: a tool for statistical analysis of spatial patterns

This talk presents an original ABC algorithm, {\it ABC Shadow}, that can be applied to sample posterior densities that are continuously differentiable. The proposed algorithm solves the main condition to be fulfilled by any ABC algorithm, in order to be useful in practice. This condition requires enough samples in the parameter space region, induced by the observed statistics. The algorithm is tuned on the posterior of a Gaussian model which is entirely known, and then it is applied for the statistical analysis of several spatial patterns. These patterns are issued or assumed to be outcomes of point processes. The considered models are: Strauss, Candy and area-interaction. Results on real data, representing the galaxies distribution in our Universe, are also shown.

Salle de réunion 142, bâtiment 210
Date du jour