Prior incoherence within a Bayesian assessment of the Southern Hemisphere humpback whale breeding stock B population
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 di...
| Main Authors: | , |
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| Format: | Report |
| Language: | English |
| Published: |
University of Cape Town
2010
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| Subjects: | |
| 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 |
| Summary: | 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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