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dc.contributor.authorSteier, Peter
dc.contributor.authorRom, Werner
dc.contributor.authorPuchegger, Stephan
dc.date.accessioned2021-02-11T21:32:32Z
dc.date.available2021-02-11T21:32:32Z
dc.date.issued2001-01-01
dc.identifier.citationSteier, P., Rom, W., & Puchegger, S. (2001). New methods and critical aspects in Bayesian mathematics for 14C calibration. Radiocarbon, 43(2A), 373-380.
dc.identifier.issn0033-8222
dc.identifier.doi10.1017/S0033822200038236
dc.identifier.urihttp://hdl.handle.net/10150/654541
dc.descriptionFrom the 17th International Radiocarbon Conference held in Jerusalem, Israel, June 18-23, 2000.
dc.description.abstractThe probabilistic radiocarbon calibration approach, which largely has replaced the intercept method in 14C dating, is based on the so-called Bayes' theorem (Bayes 1763). Besides single-sample calibration, Bayesian mathematics also supplies tools for combining 14C results of many samples with independent archaeological information such as typology or stratigraphy (Buck et al. 1996). However, specific assumptions in the "prior probabilities", used to transform the archaeological information into mathematical probability distributions, may bias the results (Steier and Rom 2000). A general technique for guarding against such a bias is "sensitivity analysis", in which a range of possible prior probabilities is tested. Only results that prove robust in this analysis should be used. We demonstrate the impact of this method for an assumed, yet realistic case of stratigraphically ordered samples from the Hallstatt period, i.e. The Early Iron Age in Central Europe.
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.subjectsensitivity analysis
dc.subjectBayesian analysis
dc.subjectIron Age
dc.subjectprobability
dc.subjectcase studies
dc.subjectmathematical methods
dc.subjectmathematical models
dc.subjectstatistical analysis
dc.subjectapplications
dc.subjectarchaeology
dc.subjectCentral Europe
dc.subjectdata processing
dc.subjectEurope
dc.subjectCenozoic
dc.subjectmethods
dc.subjectC 14
dc.subjectcarbon
dc.subjectisotopes
dc.subjectradioactive isotopes
dc.subjectabsolute age
dc.titleNew Methods and Critical Aspects in Bayesian Mathematics for 14C Calibration
dc.typeProceedings
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.volume43
dc.source.issue2A
dc.source.beginpage373
dc.source.endpage380
refterms.dateFOA2021-02-11T21:32:32Z


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