Bayesian Analysis of Radiocarbon Assays from the Late Paleoindian Sentinel Gap Site

Author(s): Julia Furlong; Jerry Galm; Stan Gough

Year: 2021

Summary

This is an abstract from the "SAA 2021: General Sessions" session, at the 86th annual meeting of the Society for American Archaeology.

Bayesian analysis of eight calibrated radiocarbon dates from the Sentinel Gap site (central Washington) are presented. Application of a Bayesian framework provides a method of reassessing uncertainty in the age-range provided by this suite of assays. The Bayesian chronology generated through this analysis establishes a higher resolution temporal placement for late Paleoindian occupation of the Sentinel Gap site. More precisely dated intervals of site occupation and landform development help clarify emerging adaptive strategies of regional late Paleoindian occupations. Calibrated intervals obtained through the application of a Bayesian model have the ability to elucidate culture-climate relationships during the transition out of the Younger Dryas cold phase into the extreme aridity of the early Holocene.

Cite this Record

Bayesian Analysis of Radiocarbon Assays from the Late Paleoindian Sentinel Gap Site. Julia Furlong, Jerry Galm, Stan Gough. Presented at The 86th Annual Meeting of the Society for American Archaeology. 2021 ( tDAR id: 467776)

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Record Identifiers

Abstract Id(s): 33504