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Sequential design of computer experiments for the assessment of fetus exposure to electromagnetic fields

Abstract : Abstract In this article, we describe four sequential sampling strategies for estimating the quantile of Y = f(X), where X has a known distribution in Rd and f is a deterministic unknown, expensive-to-evaluate real-valued function. These approaches all consist in modeling f as a sample of a well-chosen Gaussian process and aim at estimating the quantile by using as few evaluations of f as possible. The different methodologies are first compared through various numerical experiments. Then, in the framework of the ANR-JST FETUS project, we apply our strategies to a real example corresponding to the exposure of a Japanese pregnant-woman model and her 26-week-old fetus to a plane wave. Finally, we compare our methodologies on a simplified geometric model designed for modeling the fetus exposure to plane waves. Supplementary materials for this article are available online.
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https://hal.archives-ouvertes.fr/hal-01418859
Contributor : Eric Moulines <>
Submitted on : Saturday, December 17, 2016 - 2:27:22 PM
Last modification on : Thursday, February 18, 2021 - 3:32:54 AM

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Marjorie Jala, Celine Levy Leduc, Emmanuelle Conil, Joe Wiart. Sequential design of computer experiments for the assessment of fetus exposure to electromagnetic fields. Technometrics, Taylor & Francis, 2016, 58 (1), pp.30--42. ⟨10.1080/00401706.2014.979951⟩. ⟨hal-01418859⟩

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