Methods for Summarizing Radiocarbon Datasets
Abstract
Bayesian models have proved very powerful in analyzing large datasets of radiocarbon (14C) measurements from specific sites and in regional cultural or political models. These models require the prior for the underlying processes that are being described to be defined, including the distribution of underlying events. Chronological information is also incorporated into Bayesian models used in DNA research, with the use of Skyline plots to show...
Paper Details
Title
Methods for Summarizing Radiocarbon Datasets
Published Date
Dec 1, 2017
Journal
Volume
59
Issue
6
Pages
1809 - 1833
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