Integration of three strucutally different stock assessment models in a Bayesian framework

S.B.M. Kraak, H. Bogaards, L. Borges, M.A.M. Machiels, O.A. van Keeken

Research output: Book/ReportReportProfessional

Abstract

Bayesian statistics provide a method for expressing uncertainty of an unknown parameter value probabilistically (www.bayesian.org). Bayesian methods have been widely used in biological sciences, and recently in fisheries science applied to stock assessment. In our previous studies on Bayesian analysis for the F-project, we have explored three structurally different stock assessment models in a Bayesian framework. These models are not only different with respect to their data needs, they also represent different hypotheses about the stock dynamics.
Original languageEnglish
Place of PublicationIJmuiden
PublisherIMARES
Number of pages7
Publication statusPublished - 2007

Publication series

NameReport / Wageningen IMARES
PublisherIMARES
No.C043/07

Keywords

  • fishes
  • assessment
  • estimates
  • bayesian theory
  • forecasting
  • models
  • fish stocks

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