Raised bog peat deposits form important archives for reconstructing past changes in climate. Precise and reliable age models are of vital importance for interpreting such archives. We propose enhanced, Markov chain Monte Carlo based methods for obtaining age models from radiocarbon-dated peat cores, based on the assumption of piecewise linear accumulation. Included are automatic choice of sections, a measure of the goodness of fit and outlier downweighting. The approach is illustrated by using a peat core from the Netherlands.
|Number of pages||12|
|Journal||Journal of the Royal Statistical Society. Series C (Applied Statistics)|
|Publication status||Published - Aug 2005|
ASJC Scopus subject areas
- Statistics and Probability