About: Bertrand Iooss

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An Entity of Type : foaf:Person, within Data Space : data.idref.fr associated with source document(s)

Attributes	Values
type	Person
sameAs	Iooss, Bertrand (19..-....) Iooss, Bertrand (19..-....) Iooss, Bertrand (19..-....)
Life Event	http://www.idref.fr/160361176/birth
preferred label	Iooss, Bertrand (19..-....)
name	Bertrand Iooss
dbpedia-owl:citizenship	http://sws.geonames.org/3017382/
Language	http://lexvo.org/id/iso639-3/eng http://lexvo.org/id/iso639-3/fra
Given name	Bertrand
familyName	Iooss
has biographical i...tion (Deprecated)	Directeur de thèse Auteur d'une thèse de doctorat en géostatistique soutenue à l'École nationale supérieure des Mines de Paris en 1998 Titulaire de l'habilitation à diriger des recherches (HDR) Chercheur senior chez EDF R&D - Département Management des Risques Industriels, Chatou, en 2011
gender	male
ORCID iD	0000-0001-6988-2126
is sameAs of	Iooss, Bertrand (19..-....) Iooss, Bertrand (19..-....)
is Thesis advisor of	Impact de la variabilité des données météorologiques sur une maison basse consommation. Application des analyses de sensibilité pour les entrées temporelles. Approche méthodologique pour la caractérisation géostatistique des contaminations radiologiques dans les installations nucléaires http://www.sudoc.fr/185068146/id http://www.sudoc.fr/270047603/id Gaussian process regression on nested subspaces http://www.sudoc.fr/278953832/id
is Praeses of	http://www.sudoc.fr/223545376/id
is Author of	http://www.sudoc.fr/049579932/id Tomographie statistique en sismique réflexion, estimation d'un modèle de vitesse stochastique Global sensitivity analysis of stochastic computer models with joint metamodels Probabilistic risk bounds for the characterization of radiological contamination Sensitivity analysis using perturbed-law based indices for quantiles and application to an industrial case A Visual Sensitivity Analysis for Parameter- Augmented Ensembles of Curves BEPU robustness analysis via perturbed-law based sensitivity indices Numerical studies of space filling designs: optimization of Latin Hypercube Samples and subprojection properties Global sensitivity analysis of stochastic computer models with joint metamodels Proportional marginal effects for global sensitivity analysis https://hal.archives-ouvertes.fr/hal-01980693#id Uncertainty and sensitivity analysis of functional risk curves based on Gaussian processes Global sensitivity analysis in welding simulations -- what are the material data you really need ? Development of good practice guidance for quantification of thermal-hydraulic code model input uncertainty Stochastic simulators based optimization by Gaussian process metamodels - Application to maintenance investments planning issues Prediction of crack propagation kinetics through multipoint stochastic simulations of microscopic fields Shapley effects and proportional marginal effects for global sensitivity analysis: application to computed tomography scan organ dose estimation Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review Shapley effects for sensitivity analysis with correlated inputs: comparisons with Sobol' indices, numerical estimation and applications Large scale in transit computation of quantiles for ensemble runs Screening and metamodeling of computer experiments with functional outputs. Application to thermal-hydraulic computations A graph clustering approach to localization for adaptive covariance tuning in data assimilation based on state-observation mapping Density modification based reliability sensitivity analysis A review on global sensitivity analysis methods The ICSCREAM methodology: Identification of penalizing configurations in computer experiments using screening and metamodel -- Applications in thermal-hydraulics Revue sur l'analyse de sensibilité globale de modèles numériques Seismic reflection traveltimes in two-dimensional statistically anisotropic random media Stochastic simulators based optimization by Gaussian process metamodels -Application to maintenance investments planning issues Short title: Metamodel-based optimization of stochastic simulators Estimation d'indices de sensibilité sur les quantiles Global sensitivity analysis of computer models with functional inputs SAPIUM: a generic framework for a practical and transparent quantification of thermal hydraulic code model input uncertainty New estimation algorithm for more reliable prediction in Gaussian process regression: application to an aquatic ecosystem model https://hal.archives-ouvertes.fr/cea-04743399#id Calculations of Sobol indices for the Gaussian process metamodel Global sensitivity analysis for models with spatially dependent outputs http://www.sudoc.fr/259784362/id Derivative based global sensitivity measures Optimal Uncertainty Quantification of a risk measurement from a thermal-hydraulic code using Canonical Moments Robust tuning of Robbins-Monro algorithm for quantile estimation in iterative uncertainty quantification Developments and applications of Shapley effects to reliability-oriented sensitivity analysis with correlated inputs Derivative-based global sensitivity measures: general links with Sobol' indices and numerical tests https://hal.archives-ouvertes.fr/hal-03139623#id Éditorial du numéro spécial : Expériences numériques, analyse d'incertitude et de sensibilité Background Error Covariance Iterative Updating with Invariant Observation Measures for Data Assimilation Mesures d'importance relative par décomposition de la performance de modèles de régression http://www.sudoc.fr/246445467/id Sensitivity Analysis and Generalized Chaos Expansions. Lower Bounds for Sobol indices An information geometry approach for robustness analysis in uncertainty quantification of computer codes Bregman superquantiles. Estimation methods and applications. Analyse de sensibilité et exploration de modèles Model Assisted Probability of Detection curves: New statistical tools and progressive methodology http://www.numdam.org/item/JSFS_2011__152_1_103_0#id Visualization tools for uncertainty and sensitivity analyses on thermal-hydraulic transients Poincaré inequalities on intervals – application to sensitivity analysis Melissa: Large Scale In Transit Sensitivity Analysis Avoiding Intermediate Files Advanced methodology for uncertainty propagation in computer experiments with large number of inputs https://hal.archives-ouvertes.fr/hal-01980680#id SAPIUM a systematic approach for input uncertainty quantification The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support An efficient methodology for the analysis and modeling of computer experiments with large number of inputs Functional outlier detection by means of h-mode depth and dynamic time warping Controlled stratification for quantile estimation Latin hypercube sampling with inequality constraints Detecting outlying simulations in BEPU appraoches http://www.numdam.org/item/JSFS_2017__158_1_4_0#id Gaussian process regression: new hyperparameter estimation algorithm for more reliable prediction https://hal.archives-ouvertes.fr/cea-04720258#id Quantile-constrained Wasserstein projections for robust interpretability of numerical and machine learning models http://www.numdam.org/articles/10.5802/afst.1340#id Hidden But Essential Recipes for Successful Gaussian Process Metamodeling to Support Uncertainty Quantification in Numerical Simulation Hoeffding decomposition of black-box models with dependent inputs http://www.numdam.org/item/JSFS_2017__158_1_1_0#id https://zbmath.org/6458284#id

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