Prior incoherence within a Bayesian assessment of the Southern Hemisphere humpback whale breeding stock B population
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2010
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University of Cape Town
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Abstract
In very simple terms, a Bayesian analysis involves drawing estimatable parameter values from some prior distribution, computing population dynamics and assigning a likelihood value to each combination based on comparisons to data containing information on population size and/or trend. A posterior distribution may then be constructed and conclusions drawn about the parameter estimates. In Model Ia (see Appendix) r B1 , r B2 , ( ) 1 arg ~ ln B Nt , ( ) 2 arg ~ ln B Nt are the parameter values drawn from priors for the intrinsic growth rate and the log of the recent abundance for the two populations under consideration.
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Müller, A., & Butterworth, D. S. (2010). Prior incoherence within a Bayesian assessment of the Southern Hemisphere humpback whale breeding stock B population. MARAM IWS/DEC10/MISC/P1