Using Bayesian inference to understand the allocation of resources between sexual and asexual reproduction
We address the problem of Markov chain Monte Carlo analysis of a complex ecological system by using a Bayesian inferential approach. We describe a complete likelihood framework for the life history of the wavyleaf thistle, including missing information and density dependence. We indicate how, to mak...
| Main Authors: | , , , , |
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| Format: | Journal article |
| Language: | English |
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2009
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| _version_ | 1826284008242151424 |
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| author | Metcalf, C Stephens, D Rees, M Louda, S Keeler, K |
| author_facet | Metcalf, C Stephens, D Rees, M Louda, S Keeler, K |
| author_sort | Metcalf, C |
| collection | OXFORD |
| description | We address the problem of Markov chain Monte Carlo analysis of a complex ecological system by using a Bayesian inferential approach. We describe a complete likelihood framework for the life history of the wavyleaf thistle, including missing information and density dependence. We indicate how, to make inference on life history transitions involving both missing information and density dependence, the stochastic models underlying each component can be combined with each other and with priors to obtain expressions that can be directly sampled. This innovation and the principles described could be extended to other species featuring such missing stage information, with potential for improving inference relating to a range of ecological or evolutionary questions. © 2009 Royal Statistical Society. |
| first_indexed | 2024-03-07T01:07:23Z |
| format | Journal article |
| id | oxford-uuid:8bd24418-d91e-4985-9ee9-2e9f5d49a7f1 |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T01:07:23Z |
| publishDate | 2009 |
| record_format | dspace |
| spelling | oxford-uuid:8bd24418-d91e-4985-9ee9-2e9f5d49a7f12022-03-26T22:40:41ZUsing Bayesian inference to understand the allocation of resources between sexual and asexual reproductionJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:8bd24418-d91e-4985-9ee9-2e9f5d49a7f1EnglishSymplectic Elements at Oxford2009Metcalf, CStephens, DRees, MLouda, SKeeler, KWe address the problem of Markov chain Monte Carlo analysis of a complex ecological system by using a Bayesian inferential approach. We describe a complete likelihood framework for the life history of the wavyleaf thistle, including missing information and density dependence. We indicate how, to make inference on life history transitions involving both missing information and density dependence, the stochastic models underlying each component can be combined with each other and with priors to obtain expressions that can be directly sampled. This innovation and the principles described could be extended to other species featuring such missing stage information, with potential for improving inference relating to a range of ecological or evolutionary questions. © 2009 Royal Statistical Society. |
| spellingShingle | Metcalf, C Stephens, D Rees, M Louda, S Keeler, K Using Bayesian inference to understand the allocation of resources between sexual and asexual reproduction |
| title | Using Bayesian inference to understand the allocation of resources between sexual and asexual reproduction |
| title_full | Using Bayesian inference to understand the allocation of resources between sexual and asexual reproduction |
| title_fullStr | Using Bayesian inference to understand the allocation of resources between sexual and asexual reproduction |
| title_full_unstemmed | Using Bayesian inference to understand the allocation of resources between sexual and asexual reproduction |
| title_short | Using Bayesian inference to understand the allocation of resources between sexual and asexual reproduction |
| title_sort | using bayesian inference to understand the allocation of resources between sexual and asexual reproduction |
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