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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ftciteseerx:oai:CiteSeerX.psu:10.1.1.462.2386 2023-05-15T16:28:49+02:00 Using INLA To Fit A Complex Point Process Model With Temporally Varying Effects – A Case Study Janine B. Illian Sigrunn H. Sørbye Ditte Hendrichsen The Pennsylvania State University CiteSeerX Archives application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.462.2386 http://research-repository.st-andrews.ac.uk/bitstream/10023/3306/1/JES_Illian_et_al.pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.462.2386 http://research-repository.st-andrews.ac.uk/bitstream/10023/3306/1/JES_Illian_et_al.pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://research-repository.st-andrews.ac.uk/bitstream/10023/3306/1/JES_Illian_et_al.pdf spatial point processes spatial scale replicated patterns text ftciteseerx 2016-10-16T00:04:01Z 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. Text Greenland ovibos moschatus Zackenberg Unknown Greenland Laplace ENVELOPE(141.467,141.467,-66.782,-66.782) |
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ftciteseerx |
language |
English |
topic |
spatial point processes spatial scale replicated patterns |
spellingShingle |
spatial point processes spatial scale replicated patterns Janine B. Illian Sigrunn H. Sørbye Ditte Hendrichsen Using INLA To Fit A Complex Point Process Model With Temporally Varying Effects – A Case Study |
topic_facet |
spatial point processes spatial scale replicated patterns |
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. |
author2 |
The Pennsylvania State University CiteSeerX Archives |
format |
Text |
author |
Janine B. Illian Sigrunn H. Sørbye Ditte Hendrichsen |
author_facet |
Janine B. Illian Sigrunn H. Sørbye Ditte Hendrichsen |
author_sort |
Janine B. Illian |
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 |
url |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.462.2386 http://research-repository.st-andrews.ac.uk/bitstream/10023/3306/1/JES_Illian_et_al.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_source |
http://research-repository.st-andrews.ac.uk/bitstream/10023/3306/1/JES_Illian_et_al.pdf |
op_relation |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.462.2386 http://research-repository.st-andrews.ac.uk/bitstream/10023/3306/1/JES_Illian_et_al.pdf |
op_rights |
Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
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1766018496931561472 |