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Bayesian Periodic Signal Detection Applied to Intcal98 Data

Published online by Cambridge University Press:  18 July 2016

V Palonen  and
P Tikkanen
P Tikkanen
Affiliation:
Accelerator Laboratory, P.O. Box 43, FIN-00014 University of Helsinki, Finland
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Abstract

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A Bayesian multiple-frequency model has been developed for spectral analysis of data with unknown correlated noise. A description of the model is given and the method is applied to decadal atmospheric INTCAL98 Δ14C data. The noise of the INTCAL98 data is found to be red, and there seems to be no support for continuous harmonic frequencies in the data.

Type
Part II
Information
Radiocarbon , Volume 46 , Issue 2: Proceedings of the 18th International Radiocarbon Conference (Part 2 of 2), Conference Editors: Nancy Beavan Athfield, Rodger J Sparks , 2004 , pp. 979 - 985
Copyright
Copyright © The Arizona Board of Regents on behalf of the University of Arizona 

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