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dc.contributor.authorHeaton, T. J.
dc.contributor.authorBlackwell, P. G.
dc.contributor.authorBuck, C. E.
dc.date.accessioned2021-02-11T21:22:23Z
dc.date.available2021-02-11T21:22:23Z
dc.date.issued2009-01-01
dc.identifier.citationHeaton, T. J., Blackwell, P. G., & Buck, C. E. (2009). A Bayesian approach to the estimation of radiocarbon calibration curves: The IntCal09 methodology. Radiocarbon, 51(4), 1151-1164.
dc.identifier.issn0033-8222
dc.identifier.doi10.1017/S0033822200034214
dc.identifier.urihttp://hdl.handle.net/10150/654105
dc.description.abstractThis article presents a new approach to the construction of radiocarbon calibration curves. The Bayesian methodology was developed specifically to facilitate construction of the 2009 updates to the internationally agreed 14C calibration curves known as IntCal09 and Marine09. The curve estimation approach taken uses Markov chain Monte Carlo sampling, specifically a Metropolis-within-Gibbs sampler, which offers improved flexibility and reliability over the approaches used in the past. In particular, the method allows accurate modeling of calibration data with 14C determinations that arise from material deposited over several consecutive calendar years and that exhibit complex uncertainty structures on their calendar date estimates (arising from methods such as wiggle-matching and varve counting).
dc.language.isoen
dc.publisherDepartment of Geosciences, The University of Arizona
dc.relation.urlhttp://radiocarbon.webhost.uits.arizona.edu/
dc.rightsCopyright © by the Arizona Board of Regents on behalf of the University of Arizona. All rights reserved.
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.titleA Bayesian Approach to the Estimation of Radiocarbon Calibration Curves: The IntCal09 Methodology
dc.typeArticle
dc.typetext
dc.identifier.journalRadiocarbon
dc.description.collectioninformationThe Radiocarbon archives are made available by Radiocarbon and the University of Arizona Libraries. Contact lbry-journals@email.arizona.edu for further information.
dc.eprint.versionFinal published version
dc.description.admin-noteMigrated from OJS platform February 2021
dc.source.volume51
dc.source.issue4
dc.source.beginpage1151
dc.source.endpage1164
refterms.dateFOA2021-02-11T21:22:23Z


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