Choosing the observational likelihood in state-space stock assessment models

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Abstract

By implementing different observational likelihoods in a state-space age-based stock assessment model, we are able to compare the goodness-of-fit and effects on estimated fishing mortallity for different model choices. Model fit is improved by estimating suitable correlations between agegroups. We show by simulations that modelling catch as numbers-at-age is more suitable than proportions if the uncertainty of age-classifications is small
Original languageEnglish
Publication date2015
Publication statusPublished - 2015
EventICES Annual Science Conference 2015 - Copenhagen, Denmark
Duration: 21 Sep 201525 Sep 2015

Conference

ConferenceICES Annual Science Conference 2015
CountryDenmark
CityCopenhagen
Period21/09/201525/09/2015

Bibliographical note

ICES CM 2015/A:11

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