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A Note on the Bayesian Modeling of the Stratigraphic Chronology of Canímar Abajo, Cuba

Published online by Cambridge University Press:  22 March 2018

Anne Philippe  and
Marie-Anne Vibet
Anne Philippe*
Affiliation:
Laboratoire de mathématiques Jean Leray & Université de Nantes 2, rue de la Houssinière 44000 Nantes, France
Marie-Anne Vibet
Affiliation:
Laboratoire de mathématiques Jean Leray & Université de Nantes 2, rue de la Houssinière 44000 Nantes, France
*
*Corresponding author. Email: anne.philippe@univ-nantes.fr.
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Abstract

We implement a Bayesian statistical analysis of the chronology of Canímar Abajo in Cuba in order to estimate two episodes of burial activity and the period of time corresponding to the hiatus between them. We show that by using simple Bayesian modeling, conclusions can easily be reached by the analysis of the marginal posterior distribution of each parameter of the model. However, we also suggest and describe new statistical tools that exploit the joint posterior distribution of collections of dates. These new tools give complementary information regarding the chronology of human activity.

Keywords

AMS radiocarbon datingBayesian modelinggap range intervalstatistical inference by intervaltime range interval

Information

Type
Technical Note
Information
Radiocarbon , Volume 60 , Issue 3 , June 2018 , pp. 1001 - 1011
Copyright
© 2018 by the Arizona Board of Regents on behalf of the University of Arizona 

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References

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