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Bertrand Iooss
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2020 – today
- 2024
- [j22]Margot Herin, Marouane Il Idrissi
, Vincent Chabridon
Proportional Marginal Effects for Global Sensitivity Analysis. SIAM/ASA J. Uncertain. Quantification 12(2): 667-692 (2024) - [j21]Amandine Marrel, Bertrand Iooss
Probabilistic surrogate modeling by Gaussian process: A review on recent insights in estimation and validation. Reliab. Eng. Syst. Saf. 247: 110094 (2024) - [j20]Amandine Marrel
Probabilistic surrogate modeling by Gaussian process: A new estimation algorithm for more robust prediction. Reliab. Eng. Syst. Saf. 247: 110120 (2024) - [i5]Edgar Jaber, Vincent Blot, Nicolas J.-B. Brunel, Vincent Chabridon, Emmanuel Remy, Bertrand Iooss, Didier Lucor, Mathilde Mougeot, Alessandro Leite:
Conformal Approach To Gaussian Process Surrogate Evaluation With Coverage Guarantees. CoRR abs/2401.07733 (2024) - 2023
- [j19]Sibo Cheng, César Quilodrán Casas, Said Ouala, Alban Farchi, Che Liu, Pierre Tandeo, Ronan Fablet, Didier Lucor, Bertrand Iooss, Julien Brajard, Dunhui Xiao, Tijana Janjic
Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review. IEEE CAA J. Autom. Sinica 10(6): 1361-1387 (2023) - [i4]Sibo Cheng, César Quilodrán Casas, Said Ouala, Alban Farchi, Che Liu, Pierre Tandeo, Ronan Fablet, Didier Lucor, Bertrand Iooss, Julien Brajard, Dunhui Xiao, Tijana Janjic, Weiping Ding, Yike Guo, Alberto Carrassi, Marc Bocquet, Rossella Arcucci:
Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review. CoRR abs/2303.10462 (2023) - 2022
- [j18]Charles Demay, Bertrand Iooss
Model selection based on validation criteria for Gaussian process regression: An application with highlights on the predictive variance. Qual. Reliab. Eng. Int. 38(3): 1482-1500 (2022) - [j17]Bertrand Iooss
Editorial for the special issue on "sensitivity analysis of model outputs" reliability engineering and system safety. Reliab. Eng. Syst. Saf. 223: 108477 (2022) - [j16]Clement Gauchy, Jérôme Stenger, Roman Sueur, Bertrand Iooss
An Information Geometry Approach to Robustness Analysis for the Uncertainty Quantification of Computer Codes. Technometrics 64(1): 80-91 (2022) - 2021
- [j15]Saman Razavi
The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support. Environ. Model. Softw. 137: 104954 (2021) - [j14]Marouane Il Idrissi
Developments and applications of Shapley effects to reliability-oriented sensitivity analysis with correlated inputs. Environ. Model. Softw. 143: 105115 (2021) - [c4]Elias Fekhari, Bertrand Iooss, Joseph Muré, Luc Pronzato, Maria-João Rendas:
Model Predictivity Assessment: Incremental Test-Set Selection and Accuracy Evaluation. SIS 2021: 315-347 - [i3]Nora Lüthen, Olivier Roustant, Fabrice Gamboa, Bertrand Iooss, Stefano Marelli, Bruno Sudret:
Global sensitivity analysis using derivative-based sparse Poincaré chaos expansions. CoRR abs/2107.00394 (2021) - 2020
- [i2]Amandine Marrel, Bertrand Iooss, Vincent Chabridon:
Statistical Identification of Penalizing Configurations in High-dimensional Thermal-hydraulic Numerical Experiments: The ICSCREAM Methodology. CoRR abs/2004.04663 (2020)
2010 – 2019
- 2019
- [j13]Bertrand Iooss
Uncertainty and sensitivity analysis of functional risk curves based on Gaussian processes. Reliab. Eng. Syst. Saf. 187: 58-66 (2019) - [c3]Jérôme Stenger, Fabrice Gamboa, Merlin Keller, Bertrand Iooss
Canonical Moments for Optimal Uncertainty Quantification on a Variety. GSI 2019: 571-578 - [i1]Sibo Cheng, Jean-Philippe Argaud, Bertrand Iooss, Didier Lucor, Angélique Ponçot:
Background Error Covariance Iterative Updating with Invariant Observation Measures for Data Assimilation. CoRR abs/1910.09408 (2019) - 2017
- [c2]Théophile Terraz, Alejandro Ribés
Melissa: large scale in transit sensitivity analysis avoiding intermediate files. SC 2017: 61 - 2016
- [j12]Thomas Browne, Bertrand Iooss
Stochastic Simulators Based Optimization by Gaussian Process Metamodels - Application to Maintenance Investments Planning Issues. Qual. Reliab. Eng. Int. 32(6): 2067-2080 (2016) - 2015
- [j11]Sergei S. Kucherenko
Application of the control variate technique to estimation of total sensitivity indices. Reliab. Eng. Syst. Saf. 134: 251-259 (2015) - 2014
- [j10]Loïc Le Gratiet, Claire Cannamela, Bertrand Iooss
A Bayesian Approach for Global Sensitivity Analysis of (Multifidelity) Computer Codes. SIAM/ASA J. Uncertain. Quantification 2(1): 336-363 (2014) - [j9]Olivier Roustant, Jana Fruth, Bertrand Iooss
Crossed-derivative based sensitivity measures for interaction screening. Math. Comput. Simul. 105: 105-118 (2014) - [c1]Alejandro Ribés
Visualizing statistical analysis of curve datasets in ParaView. IEEE VAST 2014: 267-268 - 2013
- [j8]G. Damblin, Mathieu Couplet
Numerical studies of space-filling designs: optimization of Latin Hypercube Samples and subprojection properties. J. Simulation 7(4): 276-289 (2013) - [j7]Matieyendou Lamboni, Bertrand Iooss
Derivative-based global sensitivity measures: General links with Sobol' indices and numerical tests. Math. Comput. Simul. 87: 45-54 (2013) - 2012
- [j6]Benjamin Auder, Agnès De Crecy, Bertrand Iooss
Screening and metamodeling of computer experiments with functional outputs. Application to thermal-hydraulic computations. Reliab. Eng. Syst. Saf. 107: 122-131 (2012) - [j5]Amandine Marrel
Global sensitivity analysis of stochastic computer models with joint metamodels. Stat. Comput. 22(3): 833-847 (2012)
2000 – 2009
- 2009
- [b1]Bertrand Iooss:
Contributions au traitement des incertitudes en modélisation numérique : propagation d'ondes en milieu aléatoire et analyse statistique d'expériences simulées. (Contributions to the uncertainty management in numerical modelisation: wave propagation in random media and analysis of computer experiments). Paul Sabatier University, Toulouse, France, 2009 - [j4]Amandine Marrel
Calculations of Sobol indices for the Gaussian process metamodel. Reliab. Eng. Syst. Saf. 94(3): 742-751 (2009) - [j3]Bertrand Iooss
Global sensitivity analysis of computer models with functional inputs. Reliab. Eng. Syst. Saf. 94(7): 1194-1204 (2009) - 2008
- [j2]Amandine Marrel
An efficient methodology for modeling complex computer codes with Gaussian processes. Comput. Stat. Data Anal. 52(10): 4731-4744 (2008) - 2006
- [j1]Bertrand Iooss
Response surfaces and sensitivity analyses for an environmental model of dose calculations. Reliab. Eng. Syst. Saf. 91(10-11): 1241-1251 (2006)
Coauthor Index
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