Date/heure
28 janvier 2026
16:45 - 17:45
Lieu
Salle de conférences Nancy
Oratrice ou orateur
Dr. Gillot Nathan
Catégorie d'évènement Séminaire des doctorants
Résumé
In this talk, we’ll consider various situations (favorable, semi-favorable and unfavorable) for the computation of the partition function. For each situation, an overview of the techniques used to simulate and run the inference for the models will be discussed. More specifically, we will briefly discuss : the inverse of the cumulative distribution function, maximum likelihood, Gibbs sampler, maximum pseudo-likelihood, Metropolis-Hastings algorithms and maximum likelihood MCMC.