论文标题

贝叶斯共享参数模型,用于分析地中海沙丁鱼捕鱼

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

论文作者

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

论文摘要

欧洲沙丁鱼在世界范围内经历过度捕捞。通过贝叶斯联合纵向建模对地中海的工业和手工捕鱼的动力学在1970年至2014年的动力学进行了评估,该贝叶斯联合纵向建模使用随机效应在两种纵向措施之间产生关联结构。模型选择基于通过谐波平均值近似的贝叶斯因子。

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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