A Bayesian alternative for Aoristic analyses in archaeology
Enrico R. Crema
Abstract:Aoristic analysis is often used to handle chronological uncertainties of datasets where scientific dates (e.g. 14C, OSL, etc.) are not available, and observations are described by association to archaeological periods or phases. While several advances have been made over the last two decades, the basic principle of this approach remains fundamentally the same. Temporal windows of analyses are first divided into regularly sized time-blocks and probability weight is assigned to each of these for every observati… Show more
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