Bertrand Iooss
Bertrand Iooss
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A review on global sensitivity analysis methods
B Iooss, P Lemaître
Uncertainty management in simulation-optimization of complex systems …, 2015
Calculations of Sobol indices for the Gaussian process metamodel
A Marrel, B Iooss, B Laurent, O Roustant
Reliability Engineering & System Safety 94 (3), 742-751, 2009
An efficient methodology for modeling complex computer codes with Gaussian processes
A Marrel, B Iooss, F Van Dorpe, E Volkova
Computational Statistics & Data Analysis 52 (10), 4731-4744, 2008
The future of sensitivity analysis: an essential discipline for systems modeling and policy support
S Razavi, A Jakeman, A Saltelli, C Prieur, B Iooss, E Borgonovo, ...
Environmental Modelling & Software 137, 104954, 2021
Open TURNS: An industrial software for uncertainty quantification in simulation
M Baudin, A Dutfoy, B Iooss, AL Popelin
arXiv preprint arXiv:1501.05242, 2015
Numerical studies of space-filling designs: optimization of Latin Hypercube Samples and subprojection properties
G Damblin, M Couplet, B Iooss
Journal of Simulation 7 (4), 276-289, 2013
Introduction to sensitivity analysis
B Iooss, A Saltelli
Handbook of uncertainty quantification, 1103-1122, 2017
Global sensitivity analysis of stochastic computer models with joint metamodels
A Marrel, B Iooss, S Da Veiga, M Ribatet
Statistics and Computing 22, 833-847, 2012
Derivative-based global sensitivity measures: General links with Sobol’indices and numerical tests
M Lamboni, B Iooss, AL Popelin, F Gamboa
Mathematics and Computers in Simulation 87, 45-54, 2013
Numerical simulation of transit-time ultrasonic flowmeters: uncertainties due to flow profile and fluid turbulence
B Iooss, C Lhuillier, H Jeanneau
Ultrasonics 40 (9), 1009-1015, 2002
Revue sur l’analyse de sensibilité globale de modèles numériques
B Iooss
Journal de la Société Française de Statistique 152 (1), 3-25, 2011
Shapley effects for sensitivity analysis with correlated inputs: comparisons with Sobol'indices, numerical estimation and applications
B Iooss, C Prieur
International Journal for Uncertainty Quantification 9 (5), 2019
Analyse de sensibilité et exploration de modèles: application aux sciences de la nature et de l'environnement
R Faivre, D Makowski, S Mahévas, B Iooss
Editions Quae, 2013
Global sensitivity analysis of computer models with functional inputs
B Iooss, M Ribatet
Reliability Engineering & System Safety 94 (7), 1194-1204, 2009
Global sensitivity analysis for a numerical model of radionuclide migration from the RRC “Kurchatov Institute” radwaste disposal site
E Volkova, B Iooss, F Van Dorpe
Stochastic Environmental Research and Risk Assessment 22, 17-31, 2008
A Bayesian approach for global sensitivity analysis of (multifidelity) computer codes
L Le Gratiet, C Cannamela, B Iooss
SIAM/ASA Journal on Uncertainty Quantification 2 (1), 336-363, 2014
Global sensitivity analysis for models with spatially dependent outputs
A Marrel, B Iooss, M Jullien, B Laurent, E Volkova
Environmetrics 22 (3), 383-397, 2011
Sensitivity: global sensitivity analysis of model outputs
B Iooss, A Janon, G Pujol, B Broto, K Boumhaout, S Da Veiga, T Delage, ...
R package version 1 (0), 2021
Latin hypercube sampling with inequality constraints
M Petelet, B Iooss, O Asserin, A Loredo
AStA Advances in Statistical Analysis 94, 325-339, 2010
Controlled stratification for quantile estimation
C Cannamela, J Garnier, B Iooss
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