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Article: Capture-recapture estimation using finite mixtures of arbitrary dimension

TitleCapture-recapture estimation using finite mixtures of arbitrary dimension
Authors
Issue Date2010
PublisherBlackwell 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?
AbstractReversible 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 Identifierhttp://hdl.handle.net/10722/172234
ISSN
2015 Impact Factor: 1.36
2015 SCImago Journal Rankings: 1.906
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorArnold, Ren_US
dc.contributor.authorHayakawa, Yen_US
dc.contributor.authorYip, Pen_US
dc.date.accessioned2012-10-30T06:20:51Z-
dc.date.available2012-10-30T06:20:51Z-
dc.date.issued2010en_US
dc.identifier.citationBiometrics, 2010, v. 66 n. 2, p. 644-655en_US
dc.identifier.issn0006-341Xen_US
dc.identifier.urihttp://hdl.handle.net/10722/172234-
dc.description.abstractReversible 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.languageengen_US
dc.publisherBlackwell Publishing Ltd. The Journal's web site is located at http://www.blackwellpublishing.com/journals/BIOMen_US
dc.relation.ispartofBiometricsen_US
dc.subject.meshAnimalsen_US
dc.subject.meshBiometry - Methodsen_US
dc.subject.meshEcology - Statistics & Numerical Dataen_US
dc.subject.meshMarkov Chainsen_US
dc.subject.meshMonte Carlo Methoden_US
dc.subject.meshProbabilityen_US
dc.subject.meshRabbitsen_US
dc.titleCapture-recapture estimation using finite mixtures of arbitrary dimensionen_US
dc.typeArticleen_US
dc.identifier.emailYip, P: sfpyip@hku.hken_US
dc.identifier.authorityYip, P=rp00596en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1111/j.1541-0420.2009.01289.xen_US
dc.identifier.pmid19522870-
dc.identifier.scopuseid_2-s2.0-77952988949en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-77952988949&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume66en_US
dc.identifier.issue2en_US
dc.identifier.spage644en_US
dc.identifier.epage655en_US
dc.identifier.isiWOS:000278964200035-
dc.publisher.placeUnited Kingdomen_US
dc.identifier.scopusauthoridArnold, R=15070007200en_US
dc.identifier.scopusauthoridHayakawa, Y=7201356213en_US
dc.identifier.scopusauthoridYip, P=7102503720en_US
dc.identifier.citeulike7323662-

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