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Bayesian Periodic Signal Detection Applied to Intcal98 Data
Published online by Cambridge University Press: 18 July 2016
Abstract
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.
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