Uncertainty and sensitivity analysis of functional risk curves based on Gaussian processes (English)
- New search for: Iooss, Bertrand
- New search for: Le Gratiet, Loïc
- New search for: Iooss, Bertrand
- New search for: Le Gratiet, Loïc
In:
Reliability Engineering and System Safety
;
187
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58-66
;
2017
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ISSN:
- Article (Journal) / Electronic Resource
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Title:Uncertainty and sensitivity analysis of functional risk curves based on Gaussian processes
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Contributors:Iooss, Bertrand ( author ) / Le Gratiet, Loïc ( author )
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Published in:Reliability Engineering and System Safety ; 187 ; 58-66
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Publisher:
- New search for: Elsevier Ltd
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Publication date:2017-11-29
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Size:9 pages
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ISSN:
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DOI:
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Type of media:Article (Journal)
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Type of material:Electronic Resource
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Language:English
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Keywords:
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Source:
Table of contents – Volume 187
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 1
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EditorialMara, T.A. / Tarantola, S. et al. | 2019
- 3
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A nonparametric importance sampling estimator for moment independent importance measuresDerennes, Pierre / Morio, Jérôme / Simatos, Florian et al. | 2018
- 17
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Support indices: Measuring the effect of input variables over their supportsFruth, J. / Roustant, O. / Kuhnt, S. et al. | 2018
- 28
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Making the best use of permutations to compute sensitivity indices with replicated orthogonal arraysGilquin, Laurent / Arnaud, Elise / Prieur, Clémentine / Janon, Alexandre et al. | 2018
- 40
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Probability models for data-Driven global sensitivity analysisHu, Zhen / Mahadevan, Sankaran et al. | 2018
- 58
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Uncertainty and sensitivity analysis of functional risk curves based on Gaussian processesIooss, Bertrand / Le Gratiet, Loïc et al. | 2017
- 67
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Multivariate sensitivity analysis: Minimum variance unbiased estimators of the first-order and total-effect covariance matricesLamboni, Matieyendou et al. | 2018
- 93
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Sensitivity analysis via Karhunen–Loève expansion of a random field model: Estimation of Sobol’ indices and experimental designPronzato, Luc et al. | 2018
- 110
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Sensitivity analysis of complex engineering systems: Approaches study and their application to vehicle restraint system crash simulationQian, Gengjian / Massenzio, Michel / Brizard, Denis / Ichchou, Mohamed et al. | 2018
- 119
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A filter-based approach for global sensitivity analysis of models with functional inputsRoux, Sébastien / Loisel, Patrice / Buis, Samuel et al. | 2019
- 129
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Global sensitivity analysis in the context of imprecise probabilities (p-boxes) using sparse polynomial chaos expansionsSchöbi, Roland / Sudret, Bruno et al. | 2018
- 142
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Derivative-based new upper bound of Sobol’ sensitivity measureSong, Shufang / Zhou, Tong / Wang, Lu / Kucherenko, Sergei / Lu, Zhenzhou et al. | 2018
- 149
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Higher-order sensitivity analysis of a final repository model with discontinuous behaviour using the RS-HDMR meta-modeling approachSpiessl, Sabine M. / Kucherenko, Sergei / Becker, Dirk-A. / Zaccheus, Oluyemi et al. | 2018
- 159
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Efficient sensitivity analysis and interpretation of parameter correlations in chemical engineeringXie, Xiangzhong / Schenkendorf, René / Krewer, Ulrike et al. | 2018
- 174
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An efficient method for moment-independent global sensitivity analysis by dimensional reduction technique and principle of maximum entropyYun, Wanying / Lu, Zhenzhou / Jiang, Xian et al. | 2018
- ii
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Editorial Board| 2019