Bayesian modelling of catch in a Northwest Atlantic fishery.
We model daily catches of fishing boats in the Grand Bank fishing grounds. We use data on catches per species for a number of vessels collected by the European Union in the context of the Northwest Atlantic Fisheries Organization. Many variables can be thought to influence the amount caught: a numbe...
Published in: | Journal of the Royal Statistical Society: Series C (Applied Statistics) |
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2002
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Online Access: | https://eprints.lancs.ac.uk/id/eprint/19262/ https://doi.org/10.1111/1467-9876.00268 |
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ftulancaster:oai:eprints.lancs.ac.uk:19262 2023-08-27T04:11:12+02:00 Bayesian modelling of catch in a Northwest Atlantic fishery. Fernandez, Carmen Ley, Eduardo Steel, Mark F. J. 2002-07 https://eprints.lancs.ac.uk/id/eprint/19262/ https://doi.org/10.1111/1467-9876.00268 unknown Fernandez, Carmen and Ley, Eduardo and Steel, Mark F. J. (2002) Bayesian modelling of catch in a Northwest Atlantic fishery. Journal of the Royal Statistical Society: Series C (Applied Statistics), 51 (3). pp. 257-280. ISSN 0035-9254 Journal Article PeerReviewed 2002 ftulancaster https://doi.org/10.1111/1467-9876.00268 2023-08-03T22:17:38Z We model daily catches of fishing boats in the Grand Bank fishing grounds. We use data on catches per species for a number of vessels collected by the European Union in the context of the Northwest Atlantic Fisheries Organization. Many variables can be thought to influence the amount caught: a number of ship characteristics (such as the size of the ship, the fishing technique used and the mesh size of the nets) are obvious candidates, but one can also consider the season or the actual location of the catch. Our database leads to 28 possible regressors (arising from six continuous variables and four categorical variables, whose 22 levels are treated separately), resulting in a set of 177 million possible linear regression models for the log-catch. Zero observations are modelled separately through a probit model. Inference is based on Bayesian model averaging, using a Markov chain Monte Carlo approach. Particular attention is paid to the prediction of catches for single and aggregated ships. Article in Journal/Newspaper Northwest Atlantic Lancaster University: Lancaster Eprints Journal of the Royal Statistical Society: Series C (Applied Statistics) 51 3 257 280 |
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Open Polar |
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Lancaster University: Lancaster Eprints |
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ftulancaster |
language |
unknown |
description |
We model daily catches of fishing boats in the Grand Bank fishing grounds. We use data on catches per species for a number of vessels collected by the European Union in the context of the Northwest Atlantic Fisheries Organization. Many variables can be thought to influence the amount caught: a number of ship characteristics (such as the size of the ship, the fishing technique used and the mesh size of the nets) are obvious candidates, but one can also consider the season or the actual location of the catch. Our database leads to 28 possible regressors (arising from six continuous variables and four categorical variables, whose 22 levels are treated separately), resulting in a set of 177 million possible linear regression models for the log-catch. Zero observations are modelled separately through a probit model. Inference is based on Bayesian model averaging, using a Markov chain Monte Carlo approach. Particular attention is paid to the prediction of catches for single and aggregated ships. |
format |
Article in Journal/Newspaper |
author |
Fernandez, Carmen Ley, Eduardo Steel, Mark F. J. |
spellingShingle |
Fernandez, Carmen Ley, Eduardo Steel, Mark F. J. Bayesian modelling of catch in a Northwest Atlantic fishery. |
author_facet |
Fernandez, Carmen Ley, Eduardo Steel, Mark F. J. |
author_sort |
Fernandez, Carmen |
title |
Bayesian modelling of catch in a Northwest Atlantic fishery. |
title_short |
Bayesian modelling of catch in a Northwest Atlantic fishery. |
title_full |
Bayesian modelling of catch in a Northwest Atlantic fishery. |
title_fullStr |
Bayesian modelling of catch in a Northwest Atlantic fishery. |
title_full_unstemmed |
Bayesian modelling of catch in a Northwest Atlantic fishery. |
title_sort |
bayesian modelling of catch in a northwest atlantic fishery. |
publishDate |
2002 |
url |
https://eprints.lancs.ac.uk/id/eprint/19262/ https://doi.org/10.1111/1467-9876.00268 |
genre |
Northwest Atlantic |
genre_facet |
Northwest Atlantic |
op_relation |
Fernandez, Carmen and Ley, Eduardo and Steel, Mark F. J. (2002) Bayesian modelling of catch in a Northwest Atlantic fishery. Journal of the Royal Statistical Society: Series C (Applied Statistics), 51 (3). pp. 257-280. ISSN 0035-9254 |
op_doi |
https://doi.org/10.1111/1467-9876.00268 |
container_title |
Journal of the Royal Statistical Society: Series C (Applied Statistics) |
container_volume |
51 |
container_issue |
3 |
container_start_page |
257 |
op_container_end_page |
280 |
_version_ |
1775353758712070144 |