Bayesian shared-parameter models for analysing sardine fishing in the Mediterranean Sea

Carmen Armero; Gabriel Calvo; Luigi Spezia; Maria Grazia Pennino

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Bayesian shared-parameter models for analysing sardine fishing in the Mediterranean Sea

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arxiv 2009.02992 v1 pith:CLMPYNJG submitted 2020-09-07 stat.AP

Gabriel Calvo , Carmen Armero , Maria Grazia Pennino , Luigi Spezia This is my paper · ORCID

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keywords bayesianfishinglongitudinalmediterraneansardineanalysingapproximatedaround

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European sardine is experiencing an overfishing around the world. The dynamics of the industrial and artisanal fishing in the Mediterranean Sea from 1970 to 2014 by country was assessed by means of Bayesian joint longitudinal modelling that uses the random effects to generate an association structure between both longitudinal measures. Model selection was based on Bayes factors approximated through the harmonic mean.

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