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hal-00525489v2  Journal articles
Amandine Marrel, Bertrand Iooss, Sébastien da Veiga, Mathieu Ribatet. Global sensitivity analysis of stochastic computer models with joint metamodels
Statistics and Computing, Springer Verlag (Germany), 2012, 22, pp.833-847. ⟨10.1007/s11222-011-9274-8⟩
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hal-02490440v1  Journal articles
Alejandro Ribes, Joachim Pouderoux, Bertrand Iooss. A Visual Sensitivity Analysis for Parameter- Augmented Ensembles of Curves
The Journal of Verification, Validation and Uncertainty Quantification (VVUQ), The American Society of Mechanical Engineers (ASME), 2019, 4 (4), ⟨10.1115/1.4046020⟩
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hal-00975701v1  Book sections
Bertrand Iooss, Paul Lemaître. A review on global sensitivity analysis methods
C. Meloni and G. Dellino. Uncertainty management in Simulation-Optimization of Complex Systems: Algorithms and Applications, Springer, 2015
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hal-01198463v1  Conference papers
Thomas Browne, Bertrand Iooss, Loïc Le Gratiet, Jérome Lonchampt. Stochastic simulators based optimization by Gaussian process metamodels - Application to maintenance investments planning issues
ENBIS 2015, Sep 2015, Prague, Czech Republic
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hal-00952930v1  Conference papers
Anne-Laure Popelin, Bertrand Iooss. Visualization tools for uncertainty and sensitivity analyses on thermal-hydraulic transients
Joint International Conference on Supercomputing in Nuclear Applications and Monte Carlo 2013 (SNA + MC 2013), Oct 2013, Paris, France. pp.1
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hal-01079358v3  Book sections
Serge Kucherenko, Bertrand Iooss. Derivative based global sensitivity measures
R. Ghanem, D. Higdon and H. Owhadi (eds). Handbook of uncertainty quantification, Springer, 2017
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hal-01552361v1  Conference papers
Roman Sueur, Bertrand Iooss, Thibault Delage. Sensitivity analysis using perturbed-law based indices for quantiles and application to an industrial case
10th International Conference on Mathematical Methods in Reliability (MMR 2017), Jul 2017, Grenoble, France
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hal-01388758v2  Journal articles
Olivier Roustant, Franck Barthe, Bertrand Iooss. Poincaré inequalities on intervals – application to sensitivity analysis
Electronic journal of statistics , Shaker Heights, OH : Institute of Mathematical Statistics, 2017, 11 (2), pp.3081 - 3119. ⟨10.1214/17-EJS1310⟩
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hal-00430171v4  Journal articles
Amandine Marrel, Bertrand Iooss, Michel Jullien, Béatrice Laurent, Elena Volkova. Global sensitivity analysis for models with spatially dependent outputs
Environmetrics, Wiley, 2011, 22, pp.383-397
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hal-02535146v3  Preprints, Working Papers, ...
Amandine Marrel, Bertrand Iooss, V Chabridon. Statistical identification of penalizing configurations in high-dimensional thermalhydraulic numerical experiments: The ICSCREAM methodology
2020
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hal-01907198v2  Journal articles
Bertrand Iooss, Amandine Marrel. Advanced methodology for uncertainty propagation in computer experiments with large number of inputs
Nuclear Technology, American Nuclear Society, 2019, 205, pp.1588-1606
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hal-00666473v2  Journal articles
Matieyendou Lamboni, Bertrand Iooss, Anne-Laure Popelin, Fabrice Gamboa. Derivative-based global sensitivity measures: general links with Sobol' indices and numerical tests
Mathematics and Computers in Simulation, Elsevier, 2013, 87, pp.45-54
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hal-02016828v2  Reports
Alejandro Ribes, Théophile Terraz, Bertrand Iooss, Yvan Fournier, Bruno Raffin. Large scale in transit computation of quantiles for ensemble runs
[Research Report] EDF R&D. 2019
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hal-01607479v1  Conference papers
Théophile Terraz, Alejandro Ribes, Yvan Fournier, Bertrand Iooss, Bruno Raffin. Melissa: Large Scale In Transit Sensitivity Analysis Avoiding Intermediate Files
The International Conference for High Performance Computing, Networking, Storage and Analysis (Supercomputing), Nov 2017, Denver, United States. pp.1 - 14
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hal-01242478v2  Journal articles
Thomas Browne, Bertrand Iooss, Loïc Le Gratiet, Jérôme Lonchampt, Emmanuel Remy. Stochastic simulators based optimization by Gaussian process metamodels -Application to maintenance investments planning issues Short title: Metamodel-based optimization of stochastic simulators
Quality and Reliability Engineering International, Wiley, 2016, 32 (6)
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hal-00239494v1  Journal articles
Amandine Marrel, Bertrand Iooss, Béatrice Laurent, Olivier Roustant. Calculations of Sobol indices for the Gaussian process metamodel
Reliability Engineering and System Safety, Elsevier, 2009, 94, pp.742-751. ⟨10.1016/j.ress.2008.07.008⟩
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hal-02918478v1  Preprints, Working Papers, ...
Bertrand Iooss. Robust tuning of Robbins-Monro algorithm for quantile estimation in iterative uncertainty quantification
2020
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hal-00996440v8  Journal articles
Tatiana Labopin-Richard, Fabrice Gamboa, Aurélien Garivier, Bertrand Iooss. Bregman superquantiles. Estimation methods and applications.
Dependence Modeling, De Gruyter, 2016, 4 (1), pp.1-33
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hal-03106452v1  Preprints, Working Papers, ...
Marouane Il Idrissi, Vincent Chabridon, Bertrand Iooss. Developments and applications of Shapley effects to reliability-oriented sensitivity analysis with correlated inputs
2021
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hal-02425477v3  Preprints, Working Papers, ...
Clement Gauchy, Jerome Stenger, Roman Sueur, Bertrand Iooss. An information geometry approach for robustness analysis in uncertainty quantification of computer codes
2020
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hal-00525491v2  Journal articles
Benjamin Auder, Agnes de Crecy, Bertrand Iooss, Michel Marques. Screening and metamodeling of computer experiments with functional outputs. Application to thermal-hydraulic computations
Reliability Engineering and System Safety, Elsevier, 2012, 107, pp.122-131
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hal-01357005v3  Journal articles
Bertrand Iooss, Loïc Le Gratiet. Uncertainty and sensitivity analysis of functional risk curves based on Gaussian processes
Reliability Engineering and System Safety, Elsevier, 2019, 187, pp.58-66
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hal-02068315v2  Preprints, Working Papers, ...
Etienne Le Mire, Emilien Burger, Bertrand Iooss, Chu Mai. Prediction of crack propagation kinetics through multipoint stochastic simulations of microscopic fields
2020
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hal-00848240v1  Journal articles
Guillaume Damblin, Mathieu Couplet, Bertrand Iooss. Numerical studies of space filling designs: optimization of Latin Hypercube Samples and subprojection properties
Journal of Simulation, Palgrave Macmillan, 2013, 7, pp.276-289
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hal-00737978v3  Reports
Paul Lemaître, Ekatarina Sergienko, Aurélie Arnaud, Nicolas Bousquet, Fabrice Gamboa et al.  Density modification based reliability sensitivity analysis
2012
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hal-01556303v7  Journal articles
Bertrand Iooss, Clémentine Prieur. Shapley effects for sensitivity analysis with correlated inputs: comparisons with Sobol' indices, numerical estimation and applications
International Journal for Uncertainty Quantification, Begell House Publishers, 2019, 9 (5), pp.493-514. ⟨10.1615/Int.J.UncertaintyQuantification.2019028372⟩
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hal-02307657v1  Journal articles
Sibo Cheng, Jean-Philippe Argaud, Bertrand Iooss, Didier Lucor, Angélique Ponçot. Background Error Covariance Iterative Updating with Invariant Observation Measures for Data Assimilation
Stochastic Environmental Research and Risk Assessment, Springer Verlag (Germany), 2019, 33, pp.2033-2051
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hal-01450891v1  Preprints, Working Papers, ...
Thomas Browne, Jean-Claude Fort, Bertrand Iooss, Loïc Le Gratiet. Estimate of quantile-oriented sensitivity indices
2017
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hal-01987449v2  Preprints, Working Papers, ...
Jerome Stenger, Fabrice Gamboa, Merlin Keller, Bertrand Iooss. Optimal Uncertainty Quantification of a risk measurement from a thermal-hydraulic code using Canonical Moments
2019
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meteo-02460851v2  Preprints, Working Papers, ...
Sibo Cheng, Jean-Philippe Argaud, Bertrand Iooss, Angélique Ponçot, Didier Lucor. A graph clustering approach to localization for adaptive covariance tuning in data assimilation based on state-observation mapping
2020

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