Bayesian Periodic Signal Detection Applied to INTCAL98 Data
Issue Date
2004-01-01Keywords
atmosphereBayesian analysis
C 14
C 14 C 12
calibration
carbon
Cenozoic
concentration
equations
frequencyHoloceneINTCAL98isotopesMarkov chain analysismodelsMonte Carlo analysisnoisePleistoceneprobabilityQuaternaryradioactive isotopessignalsstable isotopesstatistical analysisstatistical distributionupper Pleistocene
Metadata
Show full item recordCitation
Palonen, V., & Tikkanen, P. (2004). Bayesian periodic signal detection applied to IntCal98 data. Radiocarbon, 46(2), 979-985.Journal
RadiocarbonDescription
From the 18th International Radiocarbon Conference held in Wellington, New Zealand, September 1-5, 2003.Additional Links
http://radiocarbon.webhost.uits.arizona.edu/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 Delta-14C 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
Proceedingstext