Statistics seminar

Abstract: As stated in the title, this presentation will be divided into two parts. The first will deal with work on epidemiological data in a coniferous forest. We carried out modeling by considering probability laws on a lattice, used the Gibbs sampler for simulation and used two parameter approximation methods for these models: pseudo-likelihood and a Bayesian method, the ABC Shadow algorithm. The second part of the talk will focus on cosmological data. This time, modeling will be done by spatial point processes, simulation by the Metropolis Hastings algorithm and inference again by the ABC Shadow algorithm. The aim of this presentation is to give an idea of the tools used for the modelling, simulation and inference process for these two projects.