
doi: 10.11141/ia.13.2
The integrated calibration of radiocarbon determinations and contextual information based on Bayesian statistical inference is known as 'Bayesian calibration'. Bayesian calibration was developed in the 1990s and there is software available, or under development, to perform various different types of applications: BCal, OxCal, Cal25 or CalPal; see also BCal, in Internet Archaeology. However, no software is available for performing fully Bayesian wiggle-matching including an outlier analysis. Wiggle-matching is used when a floating chronology of radiocarbon dates needs to be fixed in the calendar scale. In this article the technique of Bayesian wiggle-matching is outlined, including outlier considerations, and an explanation given of the type of results obtained. In particular the usage of the software Bwigg is described, an Internet-based software for Bayesian wiggle-matching.
bayesian inference, Archaeology, wiggle matching, outliers, radiocarbon, archaeology, CC1-960
bayesian inference, Archaeology, wiggle matching, outliers, radiocarbon, archaeology, CC1-960
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 7 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
