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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Bibliographic Details
Main Authors: Müller, Andrea, Butterworth, Doug S
Format: Report
Language:English
Published: Marine Resource Assessment and Management Group 2010
Subjects:
Online Access:http://hdl.handle.net/11427/18912
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spelling 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
institution Open Polar
collection 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
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