Efficient Bayesian inference remains a computational challenge in hierarchical models. Simulation-based approaches such as Markov Chain Monte Carlo methods are still popular but have large cost. When dealing with the class of Latent Gaussian Models, INLA methodology embedded R-INLA software provides accurate by computing deterministic mixture representation to approximate joint posterior, from ...