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New Methods and Critical Aspects in Bayesian Mathematics for 14 C Calibration

Bibliographic Data

ID9244142
AuthorsPeter Steier (0000-0002-6144-2449), Werner Rom, Stephan Puchegger
Year2001
Volume43
Issue2A
Pages373-380
Publication date2001-01-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueRadiocarbon (JOURNAL)
Journal identifiersISSN: 0033-8222 • E-ISSN: 1945-5755
PublisherCambridge University Press (CUP) (PUBLISHER)
DOI10.1017/s0033822200038236
OpenAlexW2476332325
LanguageEN
Citations received14
References cited9

The probabilistic radiocarbon calibration approach, which largely has replaced the intercept method in 14 C dating, is based on the so-called Bayes' theorem (Bayes 1763). Besides single-sample calibration, Bayesian mathematics also supplies tools for combining 14 C 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

Archaeology · Bayes' theorem · Bayesian probability · Calibration · Chromatography · Geography · Prior information · Prior probability · Probabilistic logic · Radiocarbon dating · Statistics · Typology · Archaeology and ancient environmental studies · Chemistry · Computer Science · Engineering · Geology and Paleoclimatology Research · Image Processing and 3D Reconstruction · Mathematics · Artificial Intelligence · Geology · Paleontology · Stratigraphy

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Unique citing works14
Citations per year0,56
Citation span2001 - 2019 (19)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 13
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