Statistical modeling of fishing activities in the north atlantic

Abstract. This paper deals with the issue of modeling daily catches of fishing boats in the Grand Bank fishing grounds. We have data on catches per species for a number of vessels collected by the European Union in the context of the North Atlantic Fisheries Organization. Many variables can be thoug...

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Main Authors: Carmen Fernández, Eduardo Ley, Mark F. J. Steel
Other Authors: The Pennsylvania State University CiteSeerX Archives
Format: Text
Language:English
Published: 1997
Subjects:
Online Access:http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.197.4863
http://econwpa.wustl.edu:80/eps/em/papers/9712/9712001.pdf
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spelling ftciteseerx:oai:CiteSeerX.psu:10.1.1.197.4863 2023-05-15T17:29:30+02:00 Statistical modeling of fishing activities in the north atlantic Carmen Fernández Eduardo Ley Mark F. J. Steel The Pennsylvania State University CiteSeerX Archives 1997 application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.197.4863 http://econwpa.wustl.edu:80/eps/em/papers/9712/9712001.pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.197.4863 http://econwpa.wustl.edu:80/eps/em/papers/9712/9712001.pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://econwpa.wustl.edu:80/eps/em/papers/9712/9712001.pdf Grand Bank fisheries Predictive inference Prior elicitation text 1997 ftciteseerx 2016-01-07T17:10:32Z Abstract. This paper deals with the issue of modeling daily catches of fishing boats in the Grand Bank fishing grounds. We have data on catches per species for a number of vessels collected by the European Union in the context of the North 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, the mesh size of the nets, etc.—, are obvious candidates, but one can also consider the season or the actual location of the catch. In all, our database leads to 23 possible regressors, resulting in a set of 8.4×10 6 possible linear regression models. Prediction of future catches and posterior inference will be based on Bayesian model averaging, using a Markov Chain Monte Carlo Model Composition (MC 3) approach. Particular attention is paid to the elicitation of the prior and the prediction of catch for single and aggregated observations. Text North Atlantic Unknown
institution Open Polar
collection Unknown
op_collection_id ftciteseerx
language English
topic Grand Bank fisheries
Predictive inference
Prior elicitation
spellingShingle Grand Bank fisheries
Predictive inference
Prior elicitation
Carmen Fernández
Eduardo Ley
Mark F. J. Steel
Statistical modeling of fishing activities in the north atlantic
topic_facet Grand Bank fisheries
Predictive inference
Prior elicitation
description Abstract. This paper deals with the issue of modeling daily catches of fishing boats in the Grand Bank fishing grounds. We have data on catches per species for a number of vessels collected by the European Union in the context of the North 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, the mesh size of the nets, etc.—, are obvious candidates, but one can also consider the season or the actual location of the catch. In all, our database leads to 23 possible regressors, resulting in a set of 8.4×10 6 possible linear regression models. Prediction of future catches and posterior inference will be based on Bayesian model averaging, using a Markov Chain Monte Carlo Model Composition (MC 3) approach. Particular attention is paid to the elicitation of the prior and the prediction of catch for single and aggregated observations.
author2 The Pennsylvania State University CiteSeerX Archives
format Text
author Carmen Fernández
Eduardo Ley
Mark F. J. Steel
author_facet Carmen Fernández
Eduardo Ley
Mark F. J. Steel
author_sort Carmen Fernández
title Statistical modeling of fishing activities in the north atlantic
title_short Statistical modeling of fishing activities in the north atlantic
title_full Statistical modeling of fishing activities in the north atlantic
title_fullStr Statistical modeling of fishing activities in the north atlantic
title_full_unstemmed Statistical modeling of fishing activities in the north atlantic
title_sort statistical modeling of fishing activities in the north atlantic
publishDate 1997
url http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.197.4863
http://econwpa.wustl.edu:80/eps/em/papers/9712/9712001.pdf
genre North Atlantic
genre_facet North Atlantic
op_source http://econwpa.wustl.edu:80/eps/em/papers/9712/9712001.pdf
op_relation http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.197.4863
http://econwpa.wustl.edu:80/eps/em/papers/9712/9712001.pdf
op_rights Metadata may be used without restrictions as long as the oai identifier remains attached to it.
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