Loading…

A Bayesian Approach to the Estimation of Radiocarbon Calibration Curves: The IntCal09 Methodology

This 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 app...

Full description

Saved in:
Bibliographic Details
Published in:Radiocarbon 2009, Vol.51 (4), p.1151-1164
Main Authors: Heaton, T J, Blackwell, P G, Buck, C E
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c362t-582d1a5a468cd2bcc7f944c1baa355b990f402575db0487b6c65b7df512b6ba63
cites cdi_FETCH-LOGICAL-c362t-582d1a5a468cd2bcc7f944c1baa355b990f402575db0487b6c65b7df512b6ba63
container_end_page 1164
container_issue 4
container_start_page 1151
container_title Radiocarbon
container_volume 51
creator Heaton, T J
Blackwell, P G
Buck, C E
description This 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).
doi_str_mv 10.1017/S0033822200034214
format article
fullrecord <record><control><sourceid>cambridge_cross</sourceid><recordid>TN_cdi_crossref_primary_10_1017_S0033822200034214</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><cupid>10_1017_S0033822200034214</cupid><sourcerecordid>10_1017_S0033822200034214</sourcerecordid><originalsourceid>FETCH-LOGICAL-c362t-582d1a5a468cd2bcc7f944c1baa355b990f402575db0487b6c65b7df512b6ba63</originalsourceid><addsrcrecordid>eNp9kMFLwzAUxoMoOKd_gLdcPFaTNElbb7NMHUwEnefykrRbR9eUJBP635ux4UXw9N7j976P9z2Ebim5p4RmD5-EpGnOGCOx4YzyMzShBReJyIQ4R5MDTg78El15vyWEUZlnEwQz_ARj7Vvo8WwYnAW9wcHisKnx3Id2B6G1PbYN_gDTWg1OxbGErlXuiMq9-679I15FxaIPEZECv9VhY43t7Hq8RhcNdL6-OdUp-nqer8rXZPn-sihny0SnkoVE5MxQEMBlrg1TWmdNwbmmCiAVQhUFaThhMY1RhOeZkloKlZlGUKakAplOET36ame9d3VTDS6e78aKkurwo-rPj6Lm7qgZwGvoGge9bv2vkDFORE5p3EtP3rBTrjXrutravetjnn_cfwCBtnU3</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>A Bayesian Approach to the Estimation of Radiocarbon Calibration Curves: The IntCal09 Methodology</title><source>Free Full-Text Journals in Chemistry</source><creator>Heaton, T J ; Blackwell, P G ; Buck, C E</creator><creatorcontrib>Heaton, T J ; Blackwell, P G ; Buck, C E</creatorcontrib><description>This 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).</description><identifier>ISSN: 0033-8222</identifier><identifier>EISSN: 1945-5755</identifier><identifier>DOI: 10.1017/S0033822200034214</identifier><language>eng</language><publisher>New York, US: Cambridge University Press</publisher><subject>Dating ; Excavation and methods ; Laboratory methods ; Methodology and general studies ; Prehistory and protohistory</subject><ispartof>Radiocarbon, 2009, Vol.51 (4), p.1151-1164</ispartof><rights>Copyright © The Arizona Board of Regents on behalf of the University of Arizona</rights><rights>2015 INIST-CNRS</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c362t-582d1a5a468cd2bcc7f944c1baa355b990f402575db0487b6c65b7df512b6ba63</citedby><cites>FETCH-LOGICAL-c362t-582d1a5a468cd2bcc7f944c1baa355b990f402575db0487b6c65b7df512b6ba63</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,4024,27923,27924,27925</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&amp;idt=22405811$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Heaton, T J</creatorcontrib><creatorcontrib>Blackwell, P G</creatorcontrib><creatorcontrib>Buck, C E</creatorcontrib><title>A Bayesian Approach to the Estimation of Radiocarbon Calibration Curves: The IntCal09 Methodology</title><title>Radiocarbon</title><addtitle>Radiocarbon</addtitle><description>This 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).</description><subject>Dating</subject><subject>Excavation and methods</subject><subject>Laboratory methods</subject><subject>Methodology and general studies</subject><subject>Prehistory and protohistory</subject><issn>0033-8222</issn><issn>1945-5755</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><recordid>eNp9kMFLwzAUxoMoOKd_gLdcPFaTNElbb7NMHUwEnefykrRbR9eUJBP635ux4UXw9N7j976P9z2Ebim5p4RmD5-EpGnOGCOx4YzyMzShBReJyIQ4R5MDTg78El15vyWEUZlnEwQz_ARj7Vvo8WwYnAW9wcHisKnx3Id2B6G1PbYN_gDTWg1OxbGErlXuiMq9-679I15FxaIPEZECv9VhY43t7Hq8RhcNdL6-OdUp-nqer8rXZPn-sihny0SnkoVE5MxQEMBlrg1TWmdNwbmmCiAVQhUFaThhMY1RhOeZkloKlZlGUKakAplOET36ame9d3VTDS6e78aKkurwo-rPj6Lm7qgZwGvoGge9bv2vkDFORE5p3EtP3rBTrjXrutravetjnn_cfwCBtnU3</recordid><startdate>2009</startdate><enddate>2009</enddate><creator>Heaton, T J</creator><creator>Blackwell, P G</creator><creator>Buck, C E</creator><general>Cambridge University Press</general><general>University of Arizona</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>2009</creationdate><title>A Bayesian Approach to the Estimation of Radiocarbon Calibration Curves: The IntCal09 Methodology</title><author>Heaton, T J ; Blackwell, P G ; Buck, C E</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c362t-582d1a5a468cd2bcc7f944c1baa355b990f402575db0487b6c65b7df512b6ba63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Dating</topic><topic>Excavation and methods</topic><topic>Laboratory methods</topic><topic>Methodology and general studies</topic><topic>Prehistory and protohistory</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Heaton, T J</creatorcontrib><creatorcontrib>Blackwell, P G</creatorcontrib><creatorcontrib>Buck, C E</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><jtitle>Radiocarbon</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Heaton, T J</au><au>Blackwell, P G</au><au>Buck, C E</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Bayesian Approach to the Estimation of Radiocarbon Calibration Curves: The IntCal09 Methodology</atitle><jtitle>Radiocarbon</jtitle><addtitle>Radiocarbon</addtitle><date>2009</date><risdate>2009</risdate><volume>51</volume><issue>4</issue><spage>1151</spage><epage>1164</epage><pages>1151-1164</pages><issn>0033-8222</issn><eissn>1945-5755</eissn><abstract>This 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).</abstract><cop>New York, US</cop><pub>Cambridge University Press</pub><doi>10.1017/S0033822200034214</doi><tpages>14</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0033-8222
ispartof Radiocarbon, 2009, Vol.51 (4), p.1151-1164
issn 0033-8222
1945-5755
language eng
recordid cdi_crossref_primary_10_1017_S0033822200034214
source Free Full-Text Journals in Chemistry
subjects Dating
Excavation and methods
Laboratory methods
Methodology and general studies
Prehistory and protohistory
title A Bayesian Approach to the Estimation of Radiocarbon Calibration Curves: The IntCal09 Methodology
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-29T11%3A27%3A11IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-cambridge_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20Bayesian%20Approach%20to%20the%20Estimation%20of%20Radiocarbon%20Calibration%20Curves:%20The%20IntCal09%20Methodology&rft.jtitle=Radiocarbon&rft.au=Heaton,%20T%20J&rft.date=2009&rft.volume=51&rft.issue=4&rft.spage=1151&rft.epage=1164&rft.pages=1151-1164&rft.issn=0033-8222&rft.eissn=1945-5755&rft_id=info:doi/10.1017/S0033822200034214&rft_dat=%3Ccambridge_cross%3E10_1017_S0033822200034214%3C/cambridge_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c362t-582d1a5a468cd2bcc7f944c1baa355b990f402575db0487b6c65b7df512b6ba63%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rft_cupid=10_1017_S0033822200034214&rfr_iscdi=true