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Bayesian volumetric calibration: an application of reversible jump Markov chain Monte Carlo methods

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Volumetric calibration is used for high accuracy estimation of the functional volume-to-level relationship for vessels used to store hazardous liquids. An example of calibration of a vessel for reprocessed nuclear material is used to illustrate an analysis of calibration data. We advocate a Bayesian approach, with proper account of genuine prior information, using a reversible jump Markov chain Monte Carlo method for estimation.
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Keywords: Computer-intensive inference; Errors in variables; Material accountancy; Regression

Document Type: Original Article

Affiliations: 1: Lancaster University, UK, 2: University of Newcastle, UK

Publication date: 2000-01-01

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