Bayesian computing with INLA: New features
The INLA approach for approximate Bayesian inference for latent Gaussian models has been shown to give fast and accurate estimates of posterior marginals and also to be a valuable tool in practice via the R-package R-INLA. New developments in the R-INLA are formalized and it is shown how these featu...
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Published in | Computational statistics & data analysis Vol. 67; pp. 68 - 83 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
01.11.2013
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Subjects | |
Online Access | Get full text |
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