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

• Autores: Gabriel F. Calvo, Carmen Armero Cervera , María G. Pennino , Luigi Spezia
• Localización: Proceedings of the 35th International Workshop on Statistical Modelling : July 20-24, 2020 Bilbao, Basque Country, Spain / Itziar Irigoien Garbizu (ed. lit.) , Dae-Jin Lee (ed. lit.) , Joaquín Martínez Minaya (ed. lit.), María Xosé Rodríguez Álvarez (ed. lit.), 2020, ISBN 978-84-1319-267-3, págs. 302-305
• Idioma: inglés
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• Resumen

  • European sardine is experiencing an over shing around the world.

    The dynamics of the industrial and artisanal shing in the Mediterranean Sea from 1970 to 2014 by country was assessed by means of Bayesian joint longitudinal modelling that uses the random e ects to generate an association structure between both longitudinal measures. Model selection was based on Bayes factors approximated through the harmonic mean.