A bayesian approach to wiggle-matching

Christen, J. Andrés; Litton, C. D.

doi:10.1016/0305-4403(95)90002-0

Cited by 56 publications

(36 citation statements)

References 14 publications

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“…A Bayesian approach, combining the 14 C dates with the relative dating provided by the tree-ring analysis, was employed to wiggle-match the results (see Christen and Litton 1995;Galimberti et al 2004). The technique used is a form of Markov chain Monte Carlo sampling, and has been applied using the program OxCal v 4.0.5.…”

Section: Wiggle-matchingmentioning

confidence: 99%

Wiggle-Matching Using Known-Age Pine from Jermyn Street, London

et al. 2009

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ABSTRACT.A slice of pine from the period covered by single-year calibration data (Stuiver 1993) was selected to serve as part of the quality assurance procedures of the English Heritage radiocarbon dating program, following successful wigglematching of 14 C measurements from structural 15th century English oak timbers (Hamilton et al. 2007). The timber selected was a roofing element from a house on Jermyn Street, central London, demonstrated by dendrochronology to have been felled in AD 1670. Eighteen single-ring samples were dated by the 14 C laboratories at Groningen, Oxford, and SUERC: each laboratory was sent a random selection of 6 samples. This approach was intended to mimic the mix of samples and relative ages incorporated into Bayesian chronological models during routine project research. This paper presents the results of this study.

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Section: Wiggle-matchingmentioning

confidence: 99%

Wiggle-Matching Using Known-Age Pine from Jermyn Street, London

et al. 2009

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“…A floating segment of a dating curve is derived. This floating segment can be fixed in calendar time by matching it to the master calibration curve (Buck et al 1992;Christen and Litton 1995;). It has been argued that a date of within ± 5 years can be derived from a log recovered in a burial context by using the wiggle-matching technique (Kojo et al 1994).…”

Section: Radiocarbon Datingmentioning

confidence: 99%

“…The Bayes Theorem is an alternative view of statistics. It deals with subjective probabilities: the belief that one might hold about a particular event (Christen and Litton 1995;Dehling and van der Plicht 1993;Orton 1980: 220). For a log with countable tree-rings recovered from an archaeological context, a sequence of high-precision radiocarbon determinations is derived for an interval of every twenty years.…”

Section: Radiocarbon Datingmentioning

confidence: 99%

Building the Chronology of Early Chinese History

Lee¹

2002

asi

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The generally accepted chronology of Chinese history begins in 841 B.C. , seventy years before the end of the Western Zhou Dynasty. In Shiji , Sima Qian (c. 145–89 B.C. ) compiled a chronological table of twelve contemporary states starting with 841 B.C. Over the past two thousand years, scholars have tried to extend the dates farther back, but without agreement. The Xia-Shang-Zhou Chronology Project was recently commissioned by the Chinese Government to systematically reconstruct a reliable chronology of early Chinese history starting with the Xia Dynasty. After almost five years and the efforts of some 200 experts in different fields of study, a new chronological table of early China was disseminated in November 2000. It was anticipated that all future discussions on the absolute dates of early China would have to be based on the project's results. This paper discusses the main debates stimulated by the project and critically evaluates the methodology it employed. As a well-informed observer of the project, the author becomes aware of a number of intriguing issues regarding the study of the past in China, such as politics and the reconstruction of the past, the relationship between the archaeological record and the documentary record, and the compatibility of archaeological dates and historical dates. A discussion of these issues has broad implications for archaeology in other parts of the world.

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“…A recipe to overcome these challenges has been pioneered by Pearson (1986) by describing a curve-fitting or "wiggle-matching" technique to take advantage of the time separation of samples with a known deposition rate. The method was later developed into a Bayesian framework by Christen and Litton (1995) and implemented in sophisticated analysis software by Bronk Ramsey et al (2001).…”

Section: Introductionmentioning

confidence: 99%

On the Eve of Urbanization – Bayesian Model Dating for Medieval Turku

Oinonen

2013

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ABSTRACT. The era of early urbanization in Finland coincides with large variations in the atmospheric radiocarbon concentration around the 13th-14th centuries AD. Therefore, the uncertainties of an individual 14 C date are too large to support studies of this time period effectively. In this work, we have employ tree-ring wiggle-matching methodology and used Bayesian modeling of dates to account for stratigraphical a priori information within Aboa Vetus Museum, Turku, Finland. The wiggle-match method helps significantly to overcome the calibration-curve-induced challenges within 14 C dating. The results of the dating model agree with the typological dates of the archaeological finds and illustrate a gradual evolution of urbanization in one of the oldest cities in Finland.

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A bayesian approach to wiggle-matching

Cited by 56 publications

References 14 publications

Wiggle-Matching Using Known-Age Pine from Jermyn Street, London

Wiggle-Matching Using Known-Age Pine from Jermyn Street, London

Building the Chronology of Early Chinese History

On the Eve of Urbanization – Bayesian Model Dating for Medieval Turku

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