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: |
2012
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Subjects: | |
Online Access: | https://risweb.st-andrews.ac.uk/portal/en/researchoutput/using-inla-to-fit-a-complex-point-process-model-with-temporally-varying-effects--a-case-study(72fb0cdc-7829-4e28-9327-2b419a624ed7).html https://research-repository.st-andrews.ac.uk/bitstream/10023/3306/1/JES_Illian_et_al.pdf http://www.math.ntnu.no/inla/r-inla.org/papers/S17-2010.pdf http://www.jenvstat.org/v03/i07/paper |