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• W2034925084 abstract "Abstract In this paper, the Markov chain Monte Carlo approach to Bayesian inference is applied for estimating the parameters of a reduced-order model of the dynamics of a boiling water reactor system. A Bayesian updating strategy is devised to progressively refine the estimates, as newly measured data become available. Finally, the technique is used for detecting parameter changes during the system lifetime, e.g. due to component degradation." @default.
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• W2034925084 date "2008-10-01" @default.
• W2034925084 modified "2023-09-28" @default.
• W2034925084 title "Bayesian inference of BWR model parameters by Markov chain Monte Carlo" @default.
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• W2034925084 doi "https://doi.org/10.1016/j.anucene.2008.03.007" @default.
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