Bayesian and Markov chain Monte Carlo methods for identifying nonlinear systems in the presence of uncertainty.

Green, P L; Worden, K

Green, P L; Worden, K.

Afiliación

Green PL; Department of Mechanical Engineering, University of Sheffield, Mappin Street, Sheffield S1 3JD, UK p.l.green@liverpool.ac.uk.
Worden K; Department of Mechanical Engineering, University of Sheffield, Mappin Street, Sheffield S1 3JD, UK.

Philos Trans A Math Phys Eng Sci ; 373(2051)2015 Sep 28.

Article en En | MEDLINE | ID: mdl-26303916

Palabras clave

Bayesian; model updating; nonlinear; system identification

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Health_economic_evaluation / Prognostic_studies Idioma: En Revista: Philos Trans A Math Phys Eng Sci Asunto de la revista: BIOFISICA / ENGENHARIA BIOMEDICA Año: 2015 Tipo del documento: Article País de afiliación: Reino Unido

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