Monte Carlo algorithsm for Bayesian inference

<p>This thesis addresses several issues appearing in Bayesian statistics. Firstly, computations for approximating Bayesian posteriors are often performed using Markov chain Monte Carlo (MCMC) methods. However, standard MCMC algorithms tend to perform poorly when the posterior distribution has...

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Détails bibliographiques
Auteur principal: Pompe, E
Autres auteurs: Holmes, C
Format: Thèse
Langue:English
Publié: 2021