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Bayesian layer counting in ice-cores: Reconstructing the time scale

Wheatley, J.J.; Blackwell, P.G.; Abram, Nerilie; Wolff, E.W.


The concentrations of various chemicals, particles and gasses in ice-cores hold a continuous record of climatic and environmental information dating back hundreds of thousands of years. In order to interpret these data we must first learn about their underlying, unobserved time scale. We present a fully Bayesian univariate approach to obtaining a marginal posterior distribution for the time of year, as well as the date, at each depth.

CollectionsANU Research Publications
Date published: 2014
Type: Conference paper
Source: Springer Proceedings in Mathematics and Statistics Volume 63. The Contribution of Young Researchers to Bayesian Statistics
DOI: 10.1007/978-3-319-02084-6_24


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