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Punt, A.E.; Hilborn, R. Bayesian approaches to stock assessment provide a means for
the analyst to combine information for the stock for which an assessment is
needed, information based on expert opinion, and inferences for other species in
a probabilistic framework. It is even possible to consider uncertainty about
which model of the population dynamics is correct. This manual provides an
overview of the application of Bayesian methods through a series of worked
examples in EXCEL. The examples are based on biomass dynamics and
stock-recruitment models, and focus on the use of assessments that form the
basis for evaluating the consequences of alternative management
actions. |
