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Estimating catch at age from market sampling data by using a Bayesian hierarchical model
Author(s) -
Hirst David,
Aanes Sondre,
Storvik Geir,
Huseby Ragnar Bang,
Tvete Ingunn Fride
Publication year - 2004
Publication title -
journal of the royal statistical society: series c (applied statistics)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.205
H-Index - 72
eISSN - 1467-9876
pISSN - 0035-9254
DOI - 10.1111/j.1467-9876.2004.00422.x
Subject(s) - covariate , bayesian probability , econometrics , bayesian hierarchical modeling , hierarchical database model , statistics , multilevel model , sampling (signal processing) , gibbs sampling , bayesian inference , computer science , mathematics , data mining , filter (signal processing) , computer vision
Summary. The paper develops a Bayesian hierarchical model for estimating the catch at age of cod landed in Norway. The model includes covariate effects such as season and gear, and can also account for the within‐boat correlation. The hierarchical structure allows us to account properly for the uncertainty in the estimates.