Bayesian Modelling of Catch in a North-West Atlantic Fishery
Summary 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:...
Published in: | Journal of the Royal Statistical Society: Series C (Applied Statistics) |
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Language: | English |
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Oxford University Press (OUP)
2002
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Online Access: | http://dx.doi.org/10.1111/1467-9876.00268 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2F1467-9876.00268 https://academic.oup.com/jrsssc/article-pdf/51/3/257/50005004/jrsssc_51_3_257.pdf |
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croxfordunivpr:10.1111/1467-9876.00268 2024-09-15T18:25:06+00:00 Bayesian Modelling of Catch in a North-West Atlantic Fishery Fernández, Carmen Ley, Eduardo Steel, Mark F. J. 2002 http://dx.doi.org/10.1111/1467-9876.00268 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2F1467-9876.00268 https://academic.oup.com/jrsssc/article-pdf/51/3/257/50005004/jrsssc_51_3_257.pdf en eng Oxford University Press (OUP) https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model Journal of the Royal Statistical Society Series C: Applied Statistics volume 51, issue 3, page 257-280 ISSN 0035-9254 1467-9876 journal-article 2002 croxfordunivpr https://doi.org/10.1111/1467-9876.00268 2024-07-15T04:24:10Z Summary 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 North West Atlantic Northwest Atlantic Oxford University Press Journal of the Royal Statistical Society: Series C (Applied Statistics) 51 3 257 280 |
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Open Polar |
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Oxford University Press |
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croxfordunivpr |
language |
English |
description |
Summary 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 |
Fernández, Carmen Ley, Eduardo Steel, Mark F. J. |
spellingShingle |
Fernández, Carmen Ley, Eduardo Steel, Mark F. J. Bayesian Modelling of Catch in a North-West Atlantic Fishery |
author_facet |
Fernández, Carmen Ley, Eduardo Steel, Mark F. J. |
author_sort |
Fernández, Carmen |
title |
Bayesian Modelling of Catch in a North-West Atlantic Fishery |
title_short |
Bayesian Modelling of Catch in a North-West Atlantic Fishery |
title_full |
Bayesian Modelling of Catch in a North-West Atlantic Fishery |
title_fullStr |
Bayesian Modelling of Catch in a North-West Atlantic Fishery |
title_full_unstemmed |
Bayesian Modelling of Catch in a North-West Atlantic Fishery |
title_sort |
bayesian modelling of catch in a north-west atlantic fishery |
publisher |
Oxford University Press (OUP) |
publishDate |
2002 |
url |
http://dx.doi.org/10.1111/1467-9876.00268 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2F1467-9876.00268 https://academic.oup.com/jrsssc/article-pdf/51/3/257/50005004/jrsssc_51_3_257.pdf |
genre |
North West Atlantic Northwest Atlantic |
genre_facet |
North West Atlantic Northwest Atlantic |
op_source |
Journal of the Royal Statistical Society Series C: Applied Statistics volume 51, issue 3, page 257-280 ISSN 0035-9254 1467-9876 |
op_rights |
https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model |
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_ |
1810465505669021696 |