Bayesian mixture modelling in geochronology via Markov chain Monte Carlo

In this paper we develop a generalized statistical methodology for characterizing geochronological data, represented by a distribution of single mineral ages. The main characteristics of such data are the heterogeneity and error associated with its collection. The former property means that mixture...

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Bibliographic Details
Main Authors: Jasra, A, Stephens, D, Gallagher, K, Holmes, C
Format: Journal article
Language:English
Published: 2006