Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA

Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA Krainski Elias (Universidade Federal do Parana Curitivba Brazil) ,Gomez-Rubio Virgilio (Universidad de Castilla-La Mancha Albacete Spain) ,Bakka Haakon ,Lenzi Amanda ,Castro-Camilo Daniela ,Simpson Daniel ,Lindgren Finn (The Un Wydawca: Taylor & Francis Ltd Data wydania: 2018 ISBN: 9781138369856 Liczba stron: 284 Format: 160 x 240 x 22 Rodzaj oprawy: Hardback Opis produktu: 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.