Bertrand Iooss

发表

Probabilistic risk bounds for the characterization of radiological contamination

G'eraud Blatman, Thibault Delage, Bertrand Iooss, 2016, 1701.02373.

Computer experiments with functional outputs: Global sensitivity analysis and metamodeling

Bertrand Iooss, Benjamin Auder, Michel Marques, 2010 .

Global sensitivity analysis of stochastic computer models with joint metamodels

Bertrand Iooss, Sébastien Da Veiga, Amandine Marrel, 2008, Statistics and Computing.

Editorial of the special issue: Computer Experiments, Uncertainty and Sensitivity Analysis

Bertrand Iooss, Pierre Barbillon, Alberto Pasanisi, 2017 .

Moment independent and reliability-based importance measures

Emanuele Borgonovo, Bertrand Iooss, B. Iooss, 2016 .

Canonical Moments for Optimal Uncertainty Quantification on a Variety

Merlin Keller, Bertrand Iooss, Fabrice Gamboa, 2019, GSI.

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

Stefano Tarantola, Bertrand Iooss, Sergei S. Kucherenko, 2015, Reliab. Eng. Syst. Saf..

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

Bertrand Iooss, Nicolas Devictor, François Van Dorpe, 2006, Reliab. Eng. Syst. Saf..

Title: Open TURNS: An industrial software for uncertainty quantification in simulation

Bertrand Iooss, Anne Dutfoy, Michael Baudin, 2015, 1501.05242.

Spatial global sensitivity analysis

Bertrand Iooss, Amandine Marrel, Béatrice Laurent, 2009 .

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

Loïc Le Gratiet, Bertrand Iooss, Emmanuel Remy, 2015, Qual. Reliab. Eng. Int..

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 experiment

Bertrand Iooss, 2009 .

Global sensitivity analysis of computer models with functional inputs

Bertrand Iooss, Mathieu Ribatet, B. Iooss, 2008, Reliab. Eng. Syst. Saf..

Numerical exploration, sensitivity analysis and Bayesian calibration of (meta)models of metabolism from Dynamic Energy Budget (DEB)

Emmanuel Chassot, Nicolas Bousquet, Bertrand Iooss, 2015 .

Background error covariance iterative updating with invariant observation measures for data assimilation

Jean-Philippe Argaud, Angélique Ponçot, Bertrand Iooss, 2019, Stochastic Environmental Research and Risk Assessment.

Numerical studies of the metamodel fitting and validation processes

Bertrand Iooss, Amandine Marrel, Vincent Feuillard, 2010, 1001.1049.

Atmospheric Transport Modeling with 3D Lagrangian Dispersion Codes Compared with SF6 Tracer Experiments at Regional Scale

Bertrand Iooss, François Van Dorpe, V. N. Semenov, 2007 .

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

Bertrand Iooss, A. Marrel, V Chabridon, 2020, ArXiv.

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

Claire Cannamela, Bertrand Iooss, Loic Le Gratiet, 2013, SIAM/ASA J. Uncertain. Quantification.

Visualization tools for uncertainty and sensitivity analyses on thermal-hydraulic transients

Bertrand Iooss, Anne-Laure Popelin, 2014, ICS 2014.

Advanced Methodology for Uncertainty Propagation in Computer Experiments with Large Number of Inputs

Bertrand Iooss, Amandine Marrel, A. Marrel, 2018, Nuclear Technology.

An efficient methodology for the analysis and modeling of computer experiments with large number of inputs

Bertrand Iooss, Amandine Marrel, A. Marrel, 2017, 1704.07090.

Development of good practice guidance for quantification of thermal-hydraulic code model input uncertainty

Jinzhao Zhang, Francesc Reventos, Rafael Mendizábal, 2019 .

Quantification des effets des propriétés matériau sur le résultat du calcul en simulation numérique du soudage

Bertrand Iooss, Matthieu Petelet, Olivier Asserina, 2007 .

A Visual Sensitivity Analysis for Parameter-Augmented Ensembles of Curves

Joachim Pouderoux, Bertrand Iooss, Alejandro Ribes, 2019, Journal of Verification, Validation and Uncertainty Quantification.

Error covariance tuning in variational data assimilation: application to an operating hydrological model

Jean-Philippe Argaud, Angélique Ponçot, Bertrand Iooss, 2020, Stochastic Environmental Research and Risk Assessment.

Global sensitivity analysis for models with spatially dependent outputs

Bertrand Iooss, Amandine Marrel, Elena Volkova, 2009, 0911.1189.

Tools for global and target sensitivity analyses in the context of high-dimensional thermal-hydraulic numerical experiments

Bertrand Iooss, Amandine Marrel, Vincent Chabridon, 2020 .

Numerical Study of the Metamodel Validation Process

Bertrand Iooss, B. Iooss, 2009, 2009 First International Conference on Advances in System Simulation.

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

Matieyendou Lamboni, Bertrand Iooss, Fabrice Gamboa, 2012, Math. Comput. Simul..

Quantitative Control of Migration: A Geostatistical Attempt

Bertrand Iooss, Alain Galli, Mustafa Touati, 1999 .

An efficient methodology for modeling complex computer codes with Gaussian processes

Bertrand Iooss, Amandine Marrel, François Van Dorpe, 2008, Comput. Stat. Data Anal..

Assessment and Propagation of the 237Np Nuclear Data Uncertainties in Integral Calculations by Monte Carlo Techniques

G. Noguere, Bertrand Iooss, F. Gunsing, 2008 .

Robust tuning of Robbins-Monro algorithm for quantile estimation in iterative uncertainty quantification

Bertrand Iooss, 2020 .

Building Probability of Detection Curves via Metamodels

Bertrand Iooss, Léa Maurice, Loic Le Gratiet, 2015 .

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

Bertrand Iooss, Benjamin Auder, Michel Marquès, 2012, Reliab. Eng. Syst. Saf..

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

Loïc Le Gratiet, Bertrand Iooss, Loic Le Gratiet, 2017, Reliab. Eng. Syst. Saf..

OPTIMAL UNCERTAINTY QUANTIFICATION OF A RISK MEASUREMENT FROM A THERMAL-HYDRAULIC CODE USING CANONICAL MOMENTS

Merlin Keller, Bertrand Iooss, Fabrice Gamboa, 2019, International Journal for Uncertainty Quantification.

Melissa: Large Scale In Transit Sensitivity Analysis Avoiding Intermediate Files

Bruno Raffin, Bertrand Iooss, Alejandro Ribés, 2017, SC17: International Conference for High Performance Computing, Networking, Storage and Analysis.

Calculations of Sobol indices for the Gaussian process metamodel

Olivier Roustant, Bertrand Iooss, Amandine Marrel, 2008, Reliab. Eng. Syst. Saf..

Crossed-derivative based sensitivity measures for interaction screening

Olivier Roustant, Sonja Kuhnt, Jana Fruth, 2014, Math. Comput. Simul..

Sensitivity analysis of computer experiments

Bertrand Iooss, Fabrice Gamboa, 2015 .

Uncertainty Assessments in Severe Nuclear Accident Scenarios

Bertrand Iooss, Michel Marques, Fabrice Gaudier, 2009, 2009 First International Conference on Advances in System Simulation.

Latin hypercube sampling with inequality constraints

Bertrand Iooss, Alexandre Loredo, Matthieu Petelet, 2009, 0909.0329.

Model Assisted Probability of Detection Curves: New Statistical Tools and Progressive Methodology

Bertrand Iooss, Benjamin Goursaud, Géraud Blatman, 2016, Journal of Nondestructive Evaluation.

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

Bertrand Iooss, G. Damblin, M. Couplet, 2013, J. Simulation.

Prediction of crack propagation kinetics through multipoint stochastic simulations of microscopic fields

Bertrand Iooss, Etienne Le Mire, Emilien Burger, 2021, EPJ Nuclear Sciences & Technologies.

A Graph Clustering Approach to Localization for Adaptive Covariance Tuning in Data Assimilation Based on State-Observation Mapping

Jean-Philippe Argaud, Angélique Ponçot, Bertrand Iooss, 2020, Mathematical Geosciences.

Basics and Trends in Sensitivity Analysis

Bertrand Iooss, Fabrice Gamboa, Sébastien Da Veiga, 2021 .

Sample selection from a given dataset to validate machine learning models

Bertrand Iooss, 2021 .

Robust Tuning of Robbins-Monro Algorithm for Quantile Estimation -- Application to Wind-Farm Asset Management

Bertrand Iooss, Jérôme Lonchampt, 2021, Proceedings of the 31st European Safety and Reliability Conference (ESREL 2021).

Global sensitivity analysis using derivative-based sparse Poincar\'e chaos expansions

Stefano Marelli, Bruno Sudret, Olivier Roustant, 2021 .

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

Bertrand Iooss, Vincent Chabridon, Marouane Il Idrissi, 2021, Environ. Model. Softw..

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

Bertrand Iooss, Amandine Marrel, Loic Le Gratiet, 2021, Qual. Reliab. Eng. Int..

Inferring the statistical distribution of velocity heterogeneities by statistical traveltime tomography

Tapan Mukerji, Bertrand Iooss, Alain Galli, 2003 .

Global Sensitivity Analysis of Stochastic Computer Models with Generalized Additive Models

Bertrand Iooss, Amandine Marrel, Mathieu Ribatet, 2007 .

Velocity Correlation Function Estimation From Seismic Reflection Traveltimes

Bertrand Iooss, Alain Galli, Mustafa Touati, 1998 .

A Monte Carlo Approach to Nuclear Model Parameter Uncertainties Propagation

G. Noguere, Bertrand Iooss, Cyrille De Saint Jean, 2009 .

Numerical study of algorithms for metamodel construction and validation

Bertrand Iooss, Amandine Marrel, Vincent Feuillard, 2008 .

SHAPLEY EFFECTS FOR SENSITIVITY ANALYSIS WITH CORRELATED INPUTS: COMPARISONS WITH SOBOL' INDICES, NUMERICAL ESTIMATION AND APPLICATIONS

Bertrand Iooss, Cl'ementine Prieur, C. Prieur, 2017, International Journal for Uncertainty Quantification.

Global sensitivity analysis based on entropy

Bertrand Iooss, Benjamin Auder, 2008 .

Seismic reflection traveltimes in two-dimensional statistically anisotropic random media

Bertrand Iooss, 1998 .

Global sensitivity analysis in welding simulations-What are the material data you really need?

Bertrand Iooss, Olivier Asserin, B. Iooss, 2011 .

Estimate of quantile-oriented sensitivity indices

Bertrand Iooss, Loic Le Gratiet, Jean-Claude Fort, 2017 .

Poincaré inequalities on intervals – application to sensitivity analysis

Olivier Roustant, Bertrand Iooss, Franck Barthe, 2016, 1612.03689.

Evaluation of the most influent input variables on quantities of interest in a fire simulation

Nicolas Fischer, Bertrand Iooss, Eric Guillaume, 2011 .