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...
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ftunivcapetownir:oai:open.uct.ac.za:11427/18912 2024-09-15T18:11:10+00:00 Prior incoherence within a Bayesian assessment of the Southern Hemisphere humpback whale breeding stock B population Müller, Andrea Butterworth, Doug S 2010 application/pdf http://hdl.handle.net/11427/18912 eng eng Marine Resource Assessment and Management Group Faculty of Science University of Cape Town http://hdl.handle.net/11427/18912 Bayesian assessment Southern Hemisphere humpback whale Working Paper 2010 ftunivcapetownir 2024-06-25T03:41:49Z 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. Report Humpback Whale University of Cape Town: OpenUCT |
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Open Polar |
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University of Cape Town: OpenUCT |
op_collection_id |
ftunivcapetownir |
language |
English |
topic |
Bayesian assessment Southern Hemisphere humpback whale |
spellingShingle |
Bayesian assessment Southern Hemisphere humpback whale Müller, Andrea Butterworth, Doug S Prior incoherence within a Bayesian assessment of the Southern Hemisphere humpback whale breeding stock B population |
topic_facet |
Bayesian assessment Southern Hemisphere humpback whale |
description |
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. |
format |
Report |
author |
Müller, Andrea Butterworth, Doug S |
author_facet |
Müller, Andrea Butterworth, Doug S |
author_sort |
Müller, Andrea |
title |
Prior incoherence within a Bayesian assessment of the Southern Hemisphere humpback whale breeding stock B population |
title_short |
Prior incoherence within a Bayesian assessment of the Southern Hemisphere humpback whale breeding stock B population |
title_full |
Prior incoherence within a Bayesian assessment of the Southern Hemisphere humpback whale breeding stock B population |
title_fullStr |
Prior incoherence within a Bayesian assessment of the Southern Hemisphere humpback whale breeding stock B population |
title_full_unstemmed |
Prior incoherence within a Bayesian assessment of the Southern Hemisphere humpback whale breeding stock B population |
title_sort |
prior incoherence within a bayesian assessment of the southern hemisphere humpback whale breeding stock b population |
publisher |
Marine Resource Assessment and Management Group |
publishDate |
2010 |
url |
http://hdl.handle.net/11427/18912 |
genre |
Humpback Whale |
genre_facet |
Humpback Whale |
op_relation |
http://hdl.handle.net/11427/18912 |
_version_ |
1810448761831292928 |