Using INLA to fit a complex point process model with temporally varying effects - a case study
Integrated nested Laplace approximation (INLA) provides a fast and yet quite exact approach to fitting complex latent Gaussian models which comprise many statistical models in a Bayesian context, including log Gaussian Cox processes. This paper discusses how a joint log Gaussian Cox process model ma...
Main Authors: | , , , |
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Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
UCLA Statistics
2012
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Subjects: | |
Online Access: | http://eprints.gla.ac.uk/199441/ http://eprints.gla.ac.uk/199441/1/199441.pdf |