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Appears in Collections:Biological and Environmental Sciences Journal Articles
Peer Review Status: Refereed
Title: Quality in Bayesian chronological models in archaeology
Author(s): Bayliss, Alex
Keywords: Bayesian statistics
chronological modelling
sample selection
radiocarbon dating
quality assurance
Issue Date: 2015
Date Deposited: 19-Nov-2015
Citation: Bayliss A (2015) Quality in Bayesian chronological models in archaeology. World Archaeology, 47 (4), pp. 677-700.
Abstract: Bayesian chronological modelling is fast becoming the method of choice for the interpretation of radiocarbon dates in archaeological and palaeoenvironmental studies around the world. Although software enabling the routine application of the method has been available for more than twenty years, more than half of published models have appeared in the past fiveyears. Unfortunately, the pace of development in statistical methodology has not been matched by the increased care in sample selection and reporting that is required for robust modelling. Barely half the applications considered in this article provide the information necessary to assess the models presented critically. This article discusses what information is required to allow the quality of Bayesian chronological models to be assessed, and provides check-lists for authors, editors and referees, in the hope of improving current practice.
DOI Link: 10.1080/00438243.2015.1067640
Rights: © 2015 The Author(s). Published by Taylor & Francis. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (, which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way.
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