FROM CHRONOLOGICAL NETWORKS TO BAYESIAN MODELS: CHRONOLOG AS A FRONT-END TO OXCAL

E. Levy, E. Piasetzky, A. Fantalkin, I. Finkelstein

Research output: Contribution to journalArticlepeer-review

Abstract

We present a new method for creating an OxCal Bayesian model that bypasses the complex task of writing OxCal code. Our methodology employs the recent ChronoLog software as a graphical front-end for generating OxCal scripts. This approach enables archaeologists to create complex Bayesian models—including termini post and ante quem, duration bounds and synchronisms—with the help of a user-friendly interface. The target audience can be divided into beginners, who might struggle to create chronological models using OxCal directly, and experienced OxCal users, who should find that ChronoLog saves time when coding complex models. Three case-studies from recent publications are presented.

Original languageEnglish
Pages (from-to)101-134
Number of pages34
JournalRadiocarbon
Volume64
Issue number1
DOIs
StatePublished - 14 Feb 2022

Bibliographical note

Publisher Copyright:
© The Author(s), 2022. Published by Cambridge University Press for the Arizona Board of Regents on behalf of the University of Arizona.

Keywords

  • Bayesian modeling
  • ChronoLog
  • chronology
  • OxCal
  • radiocarbon dating

ASJC Scopus subject areas

  • Archaeology
  • General Earth and Planetary Sciences

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