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BTChron aims to improve chronological analysis in archaeology by developing Bayesian methods for interpreting dated datasets. This research addresses the uncertainties in temporal data, enhancing the understanding of agricultural changes during the Roman period in Western Europe.
BTChron aims to advance chronological methods in archaeology by developing innovative Bayesian approaches to the analysis of typo-chronologically dated datasets, where temporal attributes are typically reported as time spans.
Failure to formally integrate these time spans into statistical analyses can potentially lead to biases in interpretation.
The proposed research addresses the critical limitations of current methods, which are inadequate for dealing with chronological uncertainty.Applicable…
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