Prior incoherence within a Bayesian assessment of the Southern Hemisphere humpback whale breeding stock B population

• Main Authors: Müller, Andrea, Butterworth, Doug S
• Format: Report
• Language: English
• Published: University of Cape Town 2010
• Subjects: Bayesian assessment; Southern Hemisphere; humpback whale; Humpback Whale
• Online Access: http://hdl.handle.net/11427/18912; https://open.uct.ac.za/bitstream/11427/18912/1/M%c3%bcller_Prior_incoherence_within_a_2010.pdf

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.