Bayesian Volumetric Calibration: An Application of Reversible Jump Markov Chain Monte Carlo Methods
| Autor: | Robin Henderson, Paul McKnespiey, Tony Morton-Jones |
|---|---|
| Rok vydání: | 2000 |
| Předmět: |
Statistics and Probability
Markov chain Calibration (statistics) Monte Carlo method Bayesian probability Markov chain Monte Carlo Reversible-jump Markov chain Monte Carlo Hybrid Monte Carlo symbols.namesake Statistics symbols Errors-in-variables models Statistics Probability and Uncertainty Algorithm Mathematics |
| Zdroj: | Journal of the Royal Statistical Society Series C: Applied Statistics. 49:563-575 |
| ISSN: | 1467-9876 0035-9254 |
| DOI: | 10.1111/1467-9876.00212 |
| Popis: | SUMMARY 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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