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Bayesian Periodic Signal Detection Applied to Intcal98 Data

Bibliographic Data

ID9245791
AuthorsVesa Palonen (0000-0001-9589-7989), P Tikkanen
Year2004
Volume46
Issue2
Pages979-985
Publication date2004-01-01
Open AccessYes
TypeARTICLE
VenueRadiocarbon (JOURNAL)
Journal identifiersISSN: 0033-8222 • E-ISSN: 1945-5755
PublisherCambridge University Press (CUP) (PUBLISHER)
DOI10.1017/s0033822200036043
OpenAlexW1912242188
LanguageEN
References cited10

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 Δ 14 C 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

Acoustics · Bayesian probability · Harmonic · Physics · Statistics · Computer Science · Geochemistry and Geologic Mapping · Mathematics · Scientific Research and Discoveries · Spectroscopy and Chemometric Analyses · Artificial Intelligence

  • Climatic, Solar, Oceanic, and Geomagnetic Influences on Late-Glacial and Holocene Atmospheric 14 C/ 12 C Change

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    Open Access•M G Ogurtsov, G E Kocharov et al.•Radiocarbon•2001

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    Open Access•Paul E Damon, Alexei N Peristykh•Radiocarbon•2000

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    Open Access•Minze Stuiver, Paula J Reimer et al.•Radiocarbon•1998

Highly citedNo

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