Bertrand Iooss

According to our database, Bertrand Iooss authored at least 31 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Probabilistic surrogate modeling by Gaussian process: A new estimation algorithm for more robust prediction.

Amandine Marrel, Bertrand Iooss

Reliab. Eng. Syst. Saf., 2024

Probabilistic surrogate modeling by Gaussian process: A review on recent insights in estimation and validation.

Amandine Marrel, Bertrand Iooss

Reliab. Eng. Syst. Saf., 2024

Proportional Marginal Effects for Global Sensitivity Analysis.

Margot Herin, Marouane Il Idrissi, Vincent Chabridon, Bertrand Iooss

SIAM/ASA J. Uncertain. Quantification, 2024

Conformal Approach To Gaussian Process Surrogate Evaluation With Coverage Guarantees.

Edgar Jaber, Vincent Blot, Nicolas J.-B. Brunel, Vincent Chabridon, Emmanuel Remy, Bertrand Iooss, Didier Lucor, Mathilde Mougeot, Alessandro Leite

CoRR, 2024

2023

Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review.

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

IEEE CAA J. Autom. Sinica, June, 2023

2022

An Information Geometry Approach to Robustness Analysis for the Uncertainty Quantification of Computer Codes.

Clement Gauchy, Jérôme Stenger, Roman Sueur, Bertrand Iooss

Technometrics, 2022

Editorial for the special issue on "sensitivity analysis of model outputs" reliability engineering and system safety.

Bertrand Iooss, Bruno Sudret, Samuele Lo Piano, Clémentine Prieur

Reliab. Eng. Syst. Saf., 2022

Model selection based on validation criteria for Gaussian process regression: An application with highlights on the predictive variance.

Charles Demay, Bertrand Iooss, Loïc Le Gratiet, Amandine Marrel

Qual. Reliab. Eng. Int., 2022

2021

The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support.

Saman Razavi, Anthony J. Jakeman, Andrea Saltelli, Clémentine Prieur, Bertrand Iooss, Emanuele Borgonovo, Elmar Plischke, Samuele Lo Piano, Takuya Iwanaga, William E. Becker, Stefano Tarantola, Joseph H. A. Guillaume, John D. Jakeman, Hoshin V. Gupta, Nicola Melillo, Giovanni Rabitti, Vincent Chabridon, Qingyun Duan, Holger R. Maier

Environ. Model. Softw., 2021

Developments and applications of Shapley effects to reliability-oriented sensitivity analysis with correlated inputs.

Marouane Il Idrissi, Vincent Chabridon, Bertrand Iooss

Environ. Model. Softw., 2021

Global sensitivity analysis using derivative-based sparse Poincaré chaos expansions.

Nora Lüthen, Olivier Roustant, Fabrice Gamboa, Bertrand Iooss, Stefano Marelli, Bruno Sudret

CoRR, 2021

Model Predictivity Assessment: Incremental Test-Set Selection and Accuracy Evaluation.

Elias Fekhari, Bertrand Iooss, Joseph Muré, Luc Pronzato, Maria-João Rendas

Proceedings of the Studies in Theoretical and Applied Statistics, 2021

2020

Statistical Identification of Penalizing Configurations in High-dimensional Thermal-hydraulic Numerical Experiments: The ICSCREAM Methodology.

Amandine Marrel, Bertrand Iooss, Vincent Chabridon

CoRR, 2020

2019

Uncertainty and sensitivity analysis of functional risk curves based on Gaussian processes.

Bertrand Iooss, Loïc Le Gratiet

Reliab. Eng. Syst. Saf., 2019

Background Error Covariance Iterative Updating with Invariant Observation Measures for Data Assimilation.

Sibo Cheng, Jean-Philippe Argaud, Bertrand Iooss, Didier Lucor, Angélique Ponçot

CoRR, 2019

Canonical Moments for Optimal Uncertainty Quantification on a Variety.

Jérôme Stenger, Fabrice Gamboa, Merlin Keller, Bertrand Iooss

Proceedings of the Geometric Science of Information - 4th International Conference, 2019

2017

Melissa: large scale in transit sensitivity analysis avoiding intermediate files.

Théophile Terraz, Alejandro Ribés, Yvan Fournier, Bertrand Iooss, Bruno Raffin

Proceedings of the International Conference for High Performance Computing, 2017

2016

Stochastic Simulators Based Optimization by Gaussian Process Metamodels - Application to Maintenance Investments Planning Issues.

Thomas Browne, Bertrand Iooss, Loïc Le Gratiet, Jérôme Lonchampt, Emmanuel Remy

Qual. Reliab. Eng. Int., 2016

2015

Application of the control variate technique to estimation of total sensitivity indices.

Sergei S. Kucherenko, B. Delpuech, Bertrand Iooss, Stefano Tarantola

Reliab. Eng. Syst. Saf., 2015

2014

Crossed-derivative based sensitivity measures for interaction screening.

Olivier Roustant, Jana Fruth, Bertrand Iooss, Sonja Kuhnt

Math. Comput. Simul., 2014

A Bayesian Approach for Global Sensitivity Analysis of (Multifidelity) Computer Codes.

Loïc Le Gratiet, Claire Cannamela, Bertrand Iooss

SIAM/ASA J. Uncertain. Quantification, 2014

Visualizing statistical analysis of curve datasets in ParaView.

Alejandro Ribés, Joachim Pouderoux, Anne-Laure Popelin, Bertrand Iooss

Proceedings of the 9th IEEE Conference on Visual Analytics Science and Technology, 2014

2013

Derivative-based global sensitivity measures: General links with Sobol' indices and numerical tests.

Matieyendou Lamboni, Bertrand Iooss, A.-L. Popelin, Fabrice Gamboa

Math. Comput. Simul., 2013

Numerical studies of space-filling designs: optimization of Latin Hypercube Samples and subprojection properties.

G. Damblin, Mathieu Couplet, Bertrand Iooss

J. Simulation, 2013

2012

Global sensitivity analysis of stochastic computer models with joint metamodels.

Amandine Marrel, Bertrand Iooss, Sébastien Da Veiga, Mathieu Ribatet

Stat. Comput., 2012

Screening and metamodeling of computer experiments with functional outputs. Application to thermal-hydraulic computations.

Benjamin Auder, Agnès De Crecy, Bertrand Iooss, Michel Marquès

Reliab. Eng. Syst. Saf., 2012

2009

Calculations of Sobol indices for the Gaussian process metamodel.

Amandine Marrel, Bertrand Iooss, Béatrice Laurent, Olivier Roustant

Reliab. Eng. Syst. Saf., 2009

Global sensitivity analysis of computer models with functional inputs.

Bertrand Iooss, Mathieu Ribatet

Reliab. Eng. Syst. Saf., 2009

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).

Bertrand Iooss

, 2009

2008

An efficient methodology for modeling complex computer codes with Gaussian processes.

Amandine Marrel, Bertrand Iooss, François Van Dorpe, Elena Volkova

Comput. Stat. Data Anal., 2008

2006

Response surfaces and sensitivity analyses for an environmental model of dose calculations.

Bertrand Iooss, François Van Dorpe, Nicolas Devictor

Reliab. Eng. Syst. Saf., 2006