Spatial and spatio-temporal models with R-INLA

Volume: 7, Pages: 39 - 55
Published: Dec 1, 2013
Abstract
During the last three decades, Bayesian methods have developed greatly in the field of epidemiology. Their main challenge focusses around computation, but the advent of Markov Chain Monte Carlo methods (MCMC) and in particular of the WinBUGS software has opened the doors of Bayesian modelling to the wide research community. However model complexity and database dimension still remain a constraint. Recently the use of Gaussian random fields has...
Paper Details
Title
Spatial and spatio-temporal models with R-INLA
Published Date
Dec 1, 2013
Volume
7
Pages
39 - 55
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