Bayesian Inference for Generalized Extreme Value Distributions via Hamiltonian Monte Carlo

Marcelo Hartmann, Ricardo Ehlers

In this paper we propose to evaluate and compare Markov chain Monte Carlo (MCMC) methods to estimate the parameters in a generalized extreme value model. We employed the Bayesian a…