Factors influencing soay sheep survival: a Bayesian analysis.
This article presents a Bayesian analysis of mark-recapture-recovery data on Soay sheep. A reversible jump Markov chain Monte Carlo technique is used to determine age classes of common survival, and to model the survival probabilities in those classes using logistic regression. This involves environ...
| Main Authors: | , , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
2006
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| _version_ | 1797083957462827008 |
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| author | King, R Brooks, S Morgan, B Coulson, T |
| author_facet | King, R Brooks, S Morgan, B Coulson, T |
| author_sort | King, R |
| collection | OXFORD |
| description | This article presents a Bayesian analysis of mark-recapture-recovery data on Soay sheep. A reversible jump Markov chain Monte Carlo technique is used to determine age classes of common survival, and to model the survival probabilities in those classes using logistic regression. This involves environmental and individual covariates, as well as random effects. Auxiliary variables are used to impute missing covariates measured on individual sheep. The Bayesian approach suggests different models from those previously obtained using classical statistical methods. Following model averaging, features that were not previously detected, and which are of ecological importance, are identified. |
| first_indexed | 2024-03-07T01:48:54Z |
| format | Journal article |
| id | oxford-uuid:99623746-2af7-481b-a0b5-8b40c8d8dd9d |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T01:48:54Z |
| publishDate | 2006 |
| record_format | dspace |
| spelling | oxford-uuid:99623746-2af7-481b-a0b5-8b40c8d8dd9d2022-03-27T00:13:57ZFactors influencing soay sheep survival: a Bayesian analysis.Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:99623746-2af7-481b-a0b5-8b40c8d8dd9dEnglishSymplectic Elements at Oxford2006King, RBrooks, SMorgan, BCoulson, TThis article presents a Bayesian analysis of mark-recapture-recovery data on Soay sheep. A reversible jump Markov chain Monte Carlo technique is used to determine age classes of common survival, and to model the survival probabilities in those classes using logistic regression. This involves environmental and individual covariates, as well as random effects. Auxiliary variables are used to impute missing covariates measured on individual sheep. The Bayesian approach suggests different models from those previously obtained using classical statistical methods. Following model averaging, features that were not previously detected, and which are of ecological importance, are identified. |
| spellingShingle | King, R Brooks, S Morgan, B Coulson, T Factors influencing soay sheep survival: a Bayesian analysis. |
| title | Factors influencing soay sheep survival: a Bayesian analysis. |
| title_full | Factors influencing soay sheep survival: a Bayesian analysis. |
| title_fullStr | Factors influencing soay sheep survival: a Bayesian analysis. |
| title_full_unstemmed | Factors influencing soay sheep survival: a Bayesian analysis. |
| title_short | Factors influencing soay sheep survival: a Bayesian analysis. |
| title_sort | factors influencing soay sheep survival a bayesian analysis |
| work_keys_str_mv | AT kingr factorsinfluencingsoaysheepsurvivalabayesiananalysis AT brookss factorsinfluencingsoaysheepsurvivalabayesiananalysis AT morganb factorsinfluencingsoaysheepsurvivalabayesiananalysis AT coulsont factorsinfluencingsoaysheepsurvivalabayesiananalysis |