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...
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ftuglasgow:oai:eprints.gla.ac.uk:199441 2023-05-15T16:28:37+02:00 Using INLA to fit a complex point process model with temporally varying effects - a case study Illian, Janine Barbel Sørbye, Sigrunn Holbek Rue, Håvard Hendrichsen, Ditte Katrine 2012 text http://eprints.gla.ac.uk/199441/ http://eprints.gla.ac.uk/199441/1/199441.pdf en eng UCLA Statistics http://eprints.gla.ac.uk/199441/1/199441.pdf Illian, J. B. <http://eprints.gla.ac.uk/view/author/51577.html> , Sørbye, S. H., Rue, H. and Hendrichsen, D. K. (2012) Using INLA to fit a complex point process model with temporally varying effects - a case study. Journal of Environmental Statistics <http://eprints.gla.ac.uk/view/journal_volume/Journal_of_Environmental_Statistics.html>, 3(7) cc_by CC-BY Articles PeerReviewed 2012 ftuglasgow 2020-01-10T02:01:02Z 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 may be fitted to independent replicated point patterns. We illustrate the approach by fitting a model to data on the locations of muskoxen (Ovibos moschatus) herds in Zackenberg valley, Northeast Greenland and by detailing how this model is specified within the R-interface R-INLA. The paper strongly focuses on practical problems involved in the modelling process, including issues of spatial scale, edge effects and prior choices, and finishes with a discussion on models with varying boundary conditions. Article in Journal/Newspaper Greenland ovibos moschatus Zackenberg University of Glasgow: Enlighten - Publications Greenland Laplace ENVELOPE(141.467,141.467,-66.782,-66.782) |
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Open Polar |
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University of Glasgow: Enlighten - Publications |
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ftuglasgow |
language |
English |
description |
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 may be fitted to independent replicated point patterns. We illustrate the approach by fitting a model to data on the locations of muskoxen (Ovibos moschatus) herds in Zackenberg valley, Northeast Greenland and by detailing how this model is specified within the R-interface R-INLA. The paper strongly focuses on practical problems involved in the modelling process, including issues of spatial scale, edge effects and prior choices, and finishes with a discussion on models with varying boundary conditions. |
format |
Article in Journal/Newspaper |
author |
Illian, Janine Barbel Sørbye, Sigrunn Holbek Rue, Håvard Hendrichsen, Ditte Katrine |
spellingShingle |
Illian, Janine Barbel Sørbye, Sigrunn Holbek Rue, Håvard Hendrichsen, Ditte Katrine Using INLA to fit a complex point process model with temporally varying effects - a case study |
author_facet |
Illian, Janine Barbel Sørbye, Sigrunn Holbek Rue, Håvard Hendrichsen, Ditte Katrine |
author_sort |
Illian, Janine Barbel |
title |
Using INLA to fit a complex point process model with temporally varying effects - a case study |
title_short |
Using INLA to fit a complex point process model with temporally varying effects - a case study |
title_full |
Using INLA to fit a complex point process model with temporally varying effects - a case study |
title_fullStr |
Using INLA to fit a complex point process model with temporally varying effects - a case study |
title_full_unstemmed |
Using INLA to fit a complex point process model with temporally varying effects - a case study |
title_sort |
using inla to fit a complex point process model with temporally varying effects - a case study |
publisher |
UCLA Statistics |
publishDate |
2012 |
url |
http://eprints.gla.ac.uk/199441/ http://eprints.gla.ac.uk/199441/1/199441.pdf |
long_lat |
ENVELOPE(141.467,141.467,-66.782,-66.782) |
geographic |
Greenland Laplace |
geographic_facet |
Greenland Laplace |
genre |
Greenland ovibos moschatus Zackenberg |
genre_facet |
Greenland ovibos moschatus Zackenberg |
op_relation |
http://eprints.gla.ac.uk/199441/1/199441.pdf Illian, J. B. <http://eprints.gla.ac.uk/view/author/51577.html> , Sørbye, S. H., Rue, H. and Hendrichsen, D. K. (2012) Using INLA to fit a complex point process model with temporally varying effects - a case study. Journal of Environmental Statistics <http://eprints.gla.ac.uk/view/journal_volume/Journal_of_Environmental_Statistics.html>, 3(7) |
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CC-BY |
_version_ |
1766018287244673024 |