Best practices for the provision of prior information for Bayesian stock assessment.
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This manual represents a review of the potential sources and methods to be applied when providing prior information to Bayesian stock assessments and marine risk analysis. The manual is compiled as a product of the EC Framework 7 ECOKNOWS project (www.ecoknows.eu). The manual begins by introducing the basic concepts of Bayesian inference and the role of prior information in the inference. Bayesian analysis is a mathematical formalization of a sequential learning process in a probabilistic rationale. Prior information (also called ”prior knowledge”, ”prior belief”, or simply a ”prior”) refers to any existing relevant knowledge available before the analysis of the newest observations (data) and the information included in them. Prior information is input to a Bayesian statistical analysis in the form of a probability distribution (a prior distribution) that summarizes beliefs about the parameter concerned in terms of relative support for different values. Apart from specifyin.....
PublisherInternational Council for the Exploration of the Sea (ICES)
Series;NrICES Cooperative Research Report; 328
Sustainable Development Goals (SDG)14
Best Practice TypeBest Practice
Manual (incl. handbook, guide, cookbook etc)
CitationRomakkaniemi, A. (ed.) (2015) Best practices for the provision of prior information for Bayesian stock assessment. ICES Cooperative Research Report No. 328, 93pp. DOI: https://doi.org/10.17895/ices.pub.5496