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- Publisher Website: 10.1111/j.1541-0420.2009.01289.x
- Scopus: eid_2-s2.0-77952988949
- PMID: 19522870
- WOS: WOS:000278964200035
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Article: Capture-recapture estimation using finite mixtures of arbitrary dimension
Title | Capture-recapture estimation using finite mixtures of arbitrary dimension |
---|---|
Authors | |
Keywords | Bayesian model averaging Capture-recapture Closed populations Heterogeneity Mixture distribution Reversible jump MCMC |
Issue Date | 2010 |
Publisher | Blackwell Publishing Ltd. The Journal's web site is located at http://www.blackwellpublishing.com/journals/BIOM |
Citation | Biometrics, 2010, v. 66 n. 2, p. 644-655 How to Cite? |
Abstract | Reversible jump Markov chain Monte Carlo (RJMCMC) methods are used to fit Bayesian capture-recapture models incorporating heterogeneity in individuals and samples. Heterogeneity in capture probabilities comes from finite mixtures and/or fixed sample effects allowing for interactions. Estimation by RJMCMC allows automatic model selection and/or model averaging. Priors on the parameters stabilize the estimates and produce realistic credible intervals for population size for overparameterized models, in contrast to likelihood-based methods. To demonstrate the approach we analyze the standard Snowshoe hare and Cottontail rabbit data sets from ecology, a reliability testing data set. © 2009, The International Biometric Society. |
Persistent Identifier | http://hdl.handle.net/10722/172234 |
ISSN | 2023 Impact Factor: 1.4 2023 SCImago Journal Rankings: 1.480 |
ISI Accession Number ID | |
References |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Arnold, R | en_US |
dc.contributor.author | Hayakawa, Y | en_US |
dc.contributor.author | Yip, P | en_US |
dc.date.accessioned | 2012-10-30T06:20:51Z | - |
dc.date.available | 2012-10-30T06:20:51Z | - |
dc.date.issued | 2010 | en_US |
dc.identifier.citation | Biometrics, 2010, v. 66 n. 2, p. 644-655 | en_US |
dc.identifier.issn | 0006-341X | en_US |
dc.identifier.uri | http://hdl.handle.net/10722/172234 | - |
dc.description.abstract | Reversible jump Markov chain Monte Carlo (RJMCMC) methods are used to fit Bayesian capture-recapture models incorporating heterogeneity in individuals and samples. Heterogeneity in capture probabilities comes from finite mixtures and/or fixed sample effects allowing for interactions. Estimation by RJMCMC allows automatic model selection and/or model averaging. Priors on the parameters stabilize the estimates and produce realistic credible intervals for population size for overparameterized models, in contrast to likelihood-based methods. To demonstrate the approach we analyze the standard Snowshoe hare and Cottontail rabbit data sets from ecology, a reliability testing data set. © 2009, The International Biometric Society. | en_US |
dc.language | eng | en_US |
dc.publisher | Blackwell Publishing Ltd. The Journal's web site is located at http://www.blackwellpublishing.com/journals/BIOM | en_US |
dc.relation.ispartof | Biometrics | en_US |
dc.subject | Bayesian model averaging | - |
dc.subject | Capture-recapture | - |
dc.subject | Closed populations | - |
dc.subject | Heterogeneity | - |
dc.subject | Mixture distribution | - |
dc.subject | Reversible jump MCMC | - |
dc.subject.mesh | Animals | en_US |
dc.subject.mesh | Biometry - Methods | en_US |
dc.subject.mesh | Ecology - Statistics & Numerical Data | en_US |
dc.subject.mesh | Markov Chains | en_US |
dc.subject.mesh | Monte Carlo Method | en_US |
dc.subject.mesh | Probability | en_US |
dc.subject.mesh | Rabbits | en_US |
dc.title | Capture-recapture estimation using finite mixtures of arbitrary dimension | en_US |
dc.type | Article | en_US |
dc.identifier.email | Yip, P: sfpyip@hku.hk | en_US |
dc.identifier.authority | Yip, P=rp00596 | en_US |
dc.description.nature | link_to_subscribed_fulltext | en_US |
dc.identifier.doi | 10.1111/j.1541-0420.2009.01289.x | en_US |
dc.identifier.pmid | 19522870 | - |
dc.identifier.scopus | eid_2-s2.0-77952988949 | en_US |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-77952988949&selection=ref&src=s&origin=recordpage | en_US |
dc.identifier.volume | 66 | en_US |
dc.identifier.issue | 2 | en_US |
dc.identifier.spage | 644 | en_US |
dc.identifier.epage | 655 | en_US |
dc.identifier.isi | WOS:000278964200035 | - |
dc.publisher.place | United Kingdom | en_US |
dc.identifier.scopusauthorid | Arnold, R=15070007200 | en_US |
dc.identifier.scopusauthorid | Hayakawa, Y=7201356213 | en_US |
dc.identifier.scopusauthorid | Yip, P=7102503720 | en_US |
dc.identifier.citeulike | 7323662 | - |
dc.identifier.issnl | 0006-341X | - |