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Influence of partially known parameter on flaw characterization in Eddy Current Testing by using a random walk MCMC method based on metamodeling

Caifang Cai; Thomas Rodet; Marc Lambert · Journal of Physics Conference Series · 2014

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Author / responsible party
Caifang Cai; Thomas Rodet; Marc Lambert
Publisher
Journal of Physics Conference Series
Year
2014
Language
English

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APA 7

Cai, C, Rodet, T, & Lambert, M. (2014). Influence of partially known parameter on flaw characterization in Eddy Current Testing by using a random walk MCMC method based on metamodeling. https://doi.org/10.1088/1742-6596/542/1/012009

MLA

Cai, Caifang, et al. "Influence of partially known parameter on flaw characterization in Eddy Current Testing by using a random walk MCMC method based on metamodeling." 2014. https://doi.org/10.1088/1742-6596/542/1/012009.

Chicago

Cai, Caifang, Thomas Rodet, and Marc Lambert. 2014. "Influence of partially known parameter on flaw characterization in Eddy Current Testing by using a random walk MCMC method based on metamodeling.". https://doi.org/10.1088/1742-6596/542/1/012009.

Harvard

Cai, C, Rodet, T. and Lambert, M. 2014, Influence of partially known parameter on flaw characterization in Eddy Current Testing by using a random walk MCMC method based on metamodeling, Journal of Physics Conference Series, available at: https://doi.org/10.1088/1742-6596/542/1/012009 [Accessed 7 Aug. 2026].

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Title
Influence of partially known parameter on flaw characterization in Eddy Current Testing by using a random walk MCMC method based on metamodeling
Author / contributors
Caifang Cai; Thomas Rodet; Marc Lambert
Publisher
Journal of Physics Conference Series
Publication year
2014
Language
English

Subjects

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Markov chain Monte Carlo; Metamodeling; Gibbs sampling; Monte Carlo method; Bayesian probability; Computer science; Random walk; Metropolis–Hastings algorithm; Sampling (signal processing); Algorithm; Mathematical optimization; Mathematics
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