Radiocarbon peat chronologies and environmental change
By M. Blaauw, J. Andrés Christen. 2005
228 citations recorded by the source corpus.
Subfields: Atmospheric Science, Earth-Surface Processes, Ecology
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Citations in the corpus
- Developments in the Calibration and Modeling of Radiocarbon Dates (2010, methodology): “In sedimentary sequences, deposition models can be used to deal with uncertainties and fluctuations in deposition rate (see e.g. Blaauw et al. 2003; Blaauw and Christen 2005; Bronk Ramsey 2008).”
- StalAge – An algorithm designed for construction of speleothem age models (2011, methodology): “For 14C-age modelling Bayesian statistics have also been applied to identify outliers (Buck et al., 2003; Haslett and Parnell, 2008) or constrain the rate of accumulation (Blaauw and Christen, 2005; Bronk Ramsey, 2008).”
- Methods and code for 'classical' age-modelling of radiocarbon sequences. (2010, methodology): “Blaauw and Christen (2005) published Bayesian software Bpeat for ‘wiggle-matching’ 14C dates based on the age-model of piece-wise linear accumulation; other age-models are not included in their program.”
- Estimation of Age-Depth Relationships (2012, methodology): “Another popular Bayesian approach to age-depth modelling is known as 14C wigglematch dating (Kilian et al. 1995, 2000; Blaauw and Christen 2005).”
- Radiocarbon: A chronological tool for the recent past (2009, methodology): “program (Blaauw and Christen, 2005) and multiple dates from a stratigraphic sequence using BCal (Buck et al.”
- A simple monotone process with application to radiocarbon‐dated depth chronologies (2008, methodology): “As in Blaauw and Christen (2005) we adopt b=2, and the simple prior distribution φj ∼binomial.1, 0:05/, interpreting the posterior probability that φj =1 as the probability that the date in question is an outlier.”