Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/22534
Appears in Collections:Biological and Environmental Sciences Journal Articles
Peer Review Status: Refereed
Title: Quality in Bayesian chronological models in archaeology
Authors: Bayliss, Alex
Contact Email: ab89@stir.ac.uk
Keywords: Bayesian statistics
chronological modelling
sample selection
radiocarbon dating
quality assurance
Issue Date: 2015
Publisher: Taylor and Francis
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.
Type: Journal Article
URI: http://hdl.handle.net/1893/22534
DOI Link: http://dx.doi.org/10.1080/00438243.2015.1067640
Rights: The publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study.
Affiliation: Biological and Environmental Sciences

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