Advanced spatial modeling with stochastic partial differential equations using r and inla
Auteur :
Krainski, Elias / Gómez-Rubio, Virgilio / Bakka, Haakon / Lenzi, Amanda / Castro-Camilo, Daniela / Simpson, Daniel / Lindgren, Finn / Rue, Håvard
Éditeur :
Taylor & Francis Ltd
ISBN :
9781138369856
Date de publication :
19 déc. 2018
Dimensions :
23,4 x 15,6 cm
Poids :
660 g
Langue :
Anglais
Pays d'origine :
Grande Bretagne
The Integrated Nested Laplace Approximation is a popular method for approximate Bayesian inference. INLA is an alternative to other methods for Bayesian inference, such as Markov Chain Monte Carlo, that are more computationally demanding. In addition, the R-INLA package for the R statistical software provides a way to fit such models in practice.