Bertrand Iooss

120
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Publications

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Hoeffding decomposition of functions of random dependent variables

Marouane Il Idrissi , Nicolas Bousquet , Fabrice Gamboa , Bertrand Iooss , Jean-Michel Loubes

Journal of Multivariate Analysis, 2025, 208, pp.105444. ⟨10.1016/j.jmva.2025.105444⟩

Article dans une revue hal-04233915v4
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An overview of variance-based importance measures in the linear regression context: comparative analyses and numerical tests

Laura Clouvel , Bertrand Iooss , Vincent Chabridon , Marouane Il Idrissi , Frédérique Robin

Socio-Environmental Systems Modelling, 2025, 7 (18681), ⟨10.18174/sesmo.1868⟩

Article dans une revue hal-04102053v3

Conformal Approach to Gaussian Process Surrogate Evaluation with Coverage Guarantees

Edgar Jaber , Vincent Blot , Nicolas Brunel , Vincent Chabridon , Emmauel Remy et al.

Journal of Machine Learning for Modeling and Computing, 2025, 6 (3), pp.37-68. ⟨10.1615/JMachLearnModelComput.2025054687⟩

Article dans une revue hal-05161190v1
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Probabilistic surrogate modeling by Gaussian process: A new estimation algorithm for more robust prediction

Amandine Marrel , Bertrand Iooss

Reliability Engineering and System Safety, 2024, 247, pp.110120. ⟨10.1016/j.ress.2024.110120⟩

Article dans une revue cea-04322818v2
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Quantile-constrained Wasserstein projections for robust interpretability of numerical and machine learning models

Marouane Il Idrissi , Nicolas Bousquet , Fabrice Gamboa , Bertrand Iooss , Jean-Michel Loubes

Electronic Journal of Statistics , 2024, 18 (2), pp.2721-2770. ⟨10.1214/24-EJS2268⟩

Article dans une revue hal-03784768v2
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Proportional marginal effects for global sensitivity analysis

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

SIAM/ASA Journal on Uncertainty Quantification, 2024, 12 (2), pp.667-692. ⟨10.1137/22M153032X⟩

Article dans une revue hal-03825935v4
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Sensitivity Analyses of a Multi-Physics Long-Term Clogging Model For Steam Generators

Edgar Jaber , Vincent Chabridon , Emmanuel Remy , Michaël Baudin , Didier Lucor et al.

International Journal for Uncertainty Quantification, 2024, 15 (1), pp. 27-45. ⟨10.1615/Int.J.UncertaintyQuantification.2024051489⟩

Article dans une revue hal-04381960v2

A systematic approach for the adequacy analysis of a set of experimental databases: application in the framework of the ATRIUM activity

Jean Baccou , Tony Glantz , Alberto Ghione , Lucia Sargentini , Philippe Fillion et al.

Nuclear Engineering and Design, 2024, 421, pp.113035. ⟨10.1016/j.nucengdes.2024.113035⟩

Article dans une revue cea-04491875v1
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Probabilistic surrogate modeling by Gaussian process: A review on recent insights in estimation and validation

Amandine Marrel , Bertrand Iooss

Reliability Engineering and System Safety, 2024, 247, pp.110094. ⟨10.1016/j.ress.2024.110094⟩

Article dans une revue cea-04322810v2
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Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review

Sibo Cheng , César Quilodrán-Casas , Said Ouala , Alban Farchi , Che Liu et al.

IEEE/CAA Journal of Automatica Sinica, 2023, 10 (6), pp.1361-1387. ⟨10.1109/JAS.2023.123537⟩

Article dans une revue hal-04039094v1
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A comparison between Bayesian and ordinary kriging based on validation criteria: application to radiological characterisation

Martin Wieskotten , Marielle Crozet , Bertrand Iooss , Céline Lacaux , Amandine Marrel

Mathematical Geosciences, 2023, pp.10.1007/s11004-023-10072-y. ⟨10.1007/s11004-023-10072-y⟩

Article dans une revue hal-03806713v3
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Global sensitivity analysis using derivative-based sparse Poincaré chaos expansions

Nora Lüthen , Olivier Roustant , Fabrice Gamboa , Bertrand Iooss , Stefano Marelli et al.

International Journal for Uncertainty Quantification, 2023, 13, pp.57-82. ⟨10.1615/Int.J.UncertaintyQuantification.2023043593⟩

Article dans une revue hal-03293672v2
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On the coalitional decomposition of parameters of interest

Marouane Il Idrissi , Nicolas Bousquet , Fabrice Gamboa , Bertrand Iooss , Jean-Michel Loubes

Comptes Rendus. Mathématique, 2023, 361, pp.1653--1662. ⟨10.5802/crmath.521⟩

Article dans une revue hal-03927476v1
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An information geometry approach to robustness analysis for the uncertainty quantification of computer codes

Clement Gauchy , Jerome Stenger , Roman Sueur , Bertrand Iooss

Technometrics, 2022, 64, pp.80-91. ⟨10.1080/00401706.2021.1905072⟩

Article dans une revue hal-02425477v3

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

Quality and Reliability Engineering International, 2022, 38 (3), pp.1482-1500. ⟨10.1002/qre.2973⟩

Article dans une revue hal-03207216v1
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An info-gap framework for robustness assessment of epistemic uncertainty models in hybrid structural reliability analysis

Antoine Ajenjo , Emmanuel Ardillon , Vincent Chabridon , Bertrand Iooss , Scott Cogan et al.

Structural Safety, 2022, 96, pp.102196. ⟨10.1016/j.strusafe.2022.102196⟩

Article dans une revue hal-03500035v1
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The ICSCREAM methodology: Identification of penalizing configurations in computer experiments using screening and metamodel -- Applications in thermal-hydraulics

A. Marrel , Bertrand Iooss , V Chabridon

Nuclear Science and Engineering, 2022, 196, pp.301-321. ⟨10.1080/00295639.2021.1980362⟩

Article dans une revue hal-02535146v4
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BEPU robustness analysis via perturbed-law based sensitivity indices

Bertrand Iooss , Vanessa Vergès , Vincent Larget

Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 2021, 236, pp.855-865. ⟨10.1177/1748006X211036569⟩

Article dans une revue hal-02864053v4
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Prediction of crack propagation kinetics through multipoint stochastic simulations of microscopic fields

Etienne Le Mire , Emilien Burger , Bertrand Iooss , Chu Mai

EPJ N - Nuclear Sciences & Technologies, 2021, 7 (4), pp.4. ⟨10.1051/epjn/2021001⟩

Article dans une revue hal-02068315v2
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A graph clustering approach to localization for adaptive covariance tuning in data assimilation based on state-observation mapping

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

Mathematical Geosciences, 2021, 53, pp.1751-1780. ⟨10.1007/s11004-021-09951-z⟩

Article dans une revue meteo-02460851v2
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Developments and applications of Shapley effects to reliability-oriented sensitivity analysis with correlated inputs

Marouane Il Idrissi , Vincent Chabridon , Bertrand Iooss

Environmental Modelling and Software, 2021, 143, ⟨10.1016/j.envsoft.2021.105115⟩

Article dans une revue hal-03106452v3
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The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support

Saman Razavi , Anthony Jakeman , Andrea Saltelli , Clémentine Prieur , Bertrand Iooss et al.

Environmental Modelling and Software, 2021, 137, pp.104954. ⟨10.1016/j.envsoft.2020.104954⟩

Article dans une revue hal-03518573v1
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Functional outlier detection by means of h-mode depth and dynamic time warping

Alvaro Rollon de Pinedo , Mathieu Couplet , Bertrand Iooss , Nathalie Marie , Amandine Marrel et al.

Applied Sciences, 2021, 11 (23), pp.11475. ⟨10.3390/app112311475⟩

Article dans une revue hal-02965504v2
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Error covariance tuning in variational data assimilation: application to an operating hydrological model

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

Stochastic Environmental Research and Risk Assessment, 2021, 35, pp.1019-1038. ⟨10.1007/s00477-020-01933-7⟩

Article dans une revue hal-02992507v1
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SAPIUM: a generic framework for a practical and transparent quantification of thermal hydraulic code model input uncertainty

Jean Baccou , Jinzhao Zhang , Philippe Fillion , Guillaume Damblin , Alessandro Petruzzi et al.

Nuclear Science and Engineering, 2020, 194, pp.721-736. ⟨10.1080/00295639.2020.1759310⟩

Article dans une revue hal-03149294v1
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Parseval inequalities and lower bounds for variance-based sensitivity indices

Olivier Roustant , Fabrice Gamboa , Bertrand Iooss

Electronic Journal of Statistics , 2020, 14 (1), pp.386-412. ⟨10.1214/19-EJS1673⟩

Article dans une revue hal-02140127v1
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Optimal Uncertainty Quantification of a risk measurement from a thermal-hydraulic code using Canonical Moments

Jerome Stenger , Fabrice Gamboa , Merlin M. Keller , Bertrand Iooss

International Journal for Uncertainty Quantification, 2020, 10, pp.35-53. ⟨10.1615/Int.J.UncertaintyQuantification.2020030800⟩

Article dans une revue hal-01987449v2
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Uncertainty and sensitivity analysis of functional risk curves based on Gaussian processes

Bertrand Iooss , Loïc Le Gratiet

Reliability Engineering and System Safety, 2019, 187, pp.58-66. ⟨10.1016/j.ress.2017.11.022⟩

Article dans une revue hal-01357005v3
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Background Error Covariance Iterative Updating with Invariant Observation Measures for Data Assimilation

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

Stochastic Environmental Research and Risk Assessment, 2019, 33, pp.2033-2051. ⟨10.1007/s00477-019-01743-6⟩

Article dans une revue hal-02307657v1
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Shapley effects for sensitivity analysis with correlated inputs: comparisons with Sobol' indices, numerical estimation and applications

Bertrand Iooss , Clémentine Prieur

International Journal for Uncertainty Quantification, 2019, 9 (5), pp.493-514. ⟨10.1615/Int.J.UncertaintyQuantification.2019028372⟩

Article dans une revue hal-01556303v7
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A Visual Sensitivity Analysis for Parameter- Augmented Ensembles of Curves

Alejandro Ribes , Joachim Pouderoux , Bertrand Iooss

The Journal of Verification, Validation and Uncertainty Quantification (VVUQ), 2019, 4 (4), ⟨10.1115/1.4046020⟩

Article dans une revue hal-02490440v1
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Advanced methodology for uncertainty propagation in computer experiments with large number of inputs

Bertrand Iooss , Amandine Marrel

Nuclear Technology, 2019, 205, pp.1588-1606. ⟨10.1080/00295450.2019.1573617⟩

Article dans une revue hal-01907198v2
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Development of good practice guidance for quantification of thermal-hydraulic code model input uncertainty

J. Baccou , J. Zhang , P. Fillion , G. Damblin , A. Petruzzi et al.

Nuclear Engineering and Design, 2019, 354, ⟨10.1016/j.nucengdes.2019.110173⟩

Article dans une revue hal-02530001v1
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Poincaré inequalities on intervals – application to sensitivity analysis

Olivier Roustant , Franck Barthe , Bertrand Iooss

Electronic Journal of Statistics , 2017, 11 (2), pp.3081 - 3119. ⟨10.1214/17-EJS1310⟩

Article dans une revue hal-01388758v2

Éditorial du numéro spécial : Expériences numériques, analyse d'incertitude et de sensibilité

Alberto Pasanisi , Pierre Barbillon , Bertrand Iooss , Hervé Monod

Journal de la Société Française de Statistique, 2017, 158 (1), pp.1

Article dans une revue hal-01606787v1
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Probabilistic risk bounds for the characterization of radiological contamination

Géraud Blatman , Thibault Delage , Bertrand Iooss , Nadia Pérot

EPJ N - Nuclear Sciences & Technologies, 2017, 3

Article dans une revue hal-01413664v2
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Model Assisted Probability of Detection curves: New statistical tools and progressive methodology

Loïc Le Gratiet , Bertrand Iooss , Géraud Blatman , Thomas Browne , Sara Cordeiro et al.

Journal of Nondestructive Evaluation, 2017, 36 (1)

Article dans une revue hal-01260335v1
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Bregman superquantiles. Estimation methods and applications.

Tatiana Labopin-Richard , Fabrice Gamboa , Aurélien Garivier , Bertrand Iooss

Dependence Modeling, 2016, 4 (1), pp.1-33

Article dans une revue hal-00996440v8
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Stochastic simulators based optimization by Gaussian process metamodels -Application to maintenance investments planning issues Short title: Metamodel-based optimization of stochastic simulators

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

Quality and Reliability Engineering International, 2016, 32 (6)

Article dans une revue hal-01242478v2
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Crossed-Derivative Based Sensitivity Measures for Interaction Screening

Olivier Roustant , Jana Fruth , Bertrand Iooss , Sonja Kuhnt

Mathematics and Computers in Simulation, 2014, 105, pp.105-118. ⟨10.1016/j.matcom.2014.05.005⟩

Article dans une revue hal-00845446v2
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A Bayesian approach for global sensitivity analysis of (multi-fidelity) computer codes

Loic Le Gratiet , Claire Cannamela , Bertrand Iooss

SIAM/ASA Journal on Uncertainty Quantification, 2014, 2, pp.336-363

Article dans une revue hal-00842432v1
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Density modification based reliability sensitivity analysis

Paul Lemaître , Ekaterina Sergienko , Aurélie Arnaud , Nicolas Bousquet , Fabrice Gamboa et al.

Journal of Statistical Computation and Simulation, 2014, 85 (6), pp.1200-1223. ⟨10.1080/00949655.2013.873039⟩

Article dans une revue hal-00737978v3
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Numerical studies of space filling designs: optimization of Latin Hypercube Samples and subprojection properties

Guillaume Damblin , Mathieu Couplet , Bertrand Iooss

Journal of Simulation, 2013, 7, pp.276-289

Article dans une revue hal-00848240v1
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Derivative-based global sensitivity measures: general links with Sobol' indices and numerical tests

Matieyendou Lamboni , Bertrand Iooss , Anne-Laure Popelin , Fabrice Gamboa

Mathematics and Computers in Simulation, 2013, 87, pp.45-54

Article dans une revue hal-00666473v2
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Global sensitivity analysis of stochastic computer models with joint metamodels

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

Statistics and Computing, 2012, 22, pp.833-847. ⟨10.1007/s11222-011-9274-8⟩

Article dans une revue hal-00525489v2
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Screening and metamodeling of computer experiments with functional outputs. Application to thermal-hydraulic computations

Benjamin Auder , Agnes de Crecy , Bertrand Iooss , Michel Marques

Reliability Engineering and System Safety, 2012, 107, pp.122-131

Article dans une revue hal-00525491v2
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Global sensitivity analysis in welding simulations -- what are the material data you really need ?

Olivier Asserin , Alexandre Loredo , Matthieu Petelet , Bertrand Iooss

Finite Elements in Analysis and Design, 2011, 47 (9), pp.1004-1016. ⟨10.1016/j.finel.2011.03.016⟩

Article dans une revue hal-00419162v1
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Revue sur l'analyse de sensibilité globale de modèles numériques

Bertrand Iooss

Journal de la Société Française de Statistique, 2011, 152 (1), pp.1-23

Article dans une revue hal-00503179v2
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Global sensitivity analysis for models with spatially dependent outputs

Amandine Marrel , Bertrand Iooss , Michel Jullien , Béatrice Laurent , Elena Volkova

Environmetrics, 2011, 22, pp.383-397

Article dans une revue hal-00430171v4
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Numerical studies of the metamodel fitting and validation processes

Bertrand Iooss , Loïc Boussouf , Vincent Feuillard , Amandine Marrel

International Journal On Advances in Systems and Measurements, 2010, 3, pp.11-21

Article dans une revue hal-00444666v2
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Latin hypercube sampling with inequality constraints

Matthieu Petelet , Bertrand Iooss , Olivier Asserin , Alexandre Loredo

AStA Advances in Statistical Analysis, 2010, 94, pp.325-339. ⟨10.48550/arXiv.0909.0329⟩

Article dans une revue hal-00412235v3
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Global sensitivity analysis of computer models with functional inputs

Bertrand Iooss , Mathieu Ribatet

Reliability Engineering and System Safety, 2009, 94 (7), pp.1194-1204

Article dans une revue hal-00243156v2
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Global sensitivity analysis of stochastic computer models with generalized additive models

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

Statistics and Computing, 2009, 22 (3), pp.833-847. ⟨10.1007/s11222-011-9274-8⟩

Article dans une revue cea-02355755v1
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Calculations of Sobol indices for the Gaussian process metamodel

Amandine Marrel , Bertrand Iooss , Béatrice Laurent , Olivier Roustant

Reliability Engineering and System Safety, 2009, 94, pp.742-751. ⟨10.1016/j.ress.2008.07.008⟩

Article dans une revue hal-00239494v1
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Controlled stratification for quantile estimation

Claire Cannamela , Josselin Garnier , Bertrand Iooss

Annals of Applied Statistics, 2008, 2 (4), pp.1554 - 1580. ⟨10.1214/08-AOAS186⟩

Article dans une revue cea-02514913v1

Global sensitivity analysis for a numerical model of radionuclide migration from the RRC Kurchatov Institute waste disposal site

Elena Volkova , Bertrand Iooss , François Van Dorpe

Stochastic Environmental Research and Risk Assessment, 2008, 22 (1), pp.17-31. ⟨10.1007/s00477-006-0093-y⟩

Article dans une revue istex cea-02356017v1

Controlled stratification for quantile estimation

Josselin Garnier , C. Cannamela , B. Iooss

Annals of Applied Statistics, 2008, 2 (4), pp.1554-1580

Article dans une revue hal-00355016v1
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An efficient methodology for modeling complex computer codes with Gaussian processes

Amandine Marrel , Bertrand Iooss , Francois van Dorpe , Elena Volkova

Computational Statistics and Data Analysis, 2008, 52, pp.4731-4744. ⟨10.1016/j.csda.2008.03.026⟩

Article dans une revue hal-00239492v2
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Controlled stratification for quantile estimation

Claire Cannamela , Josselin Garnier , Bertrand Iooss

Annals of Applied Statistics, 2008, 2 (4), pp.1554-1580

Article dans une revue hal-00256644v1
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Data-driven dimensional analysis applied to single-phase natural circulation

Camille Razaire , Amandine Marrel , Bertrand Iooss , Jérome Cardolaccia , Sébastien Renaudière de Vaux

26e Congrès Français de Mécanique, Laboratoire d'Etude des Microstructures et de Mécanique des Matériaux (LEM3 - UMR CNRS 7239), Aug 2025, Metz, France

Communication dans un congrès hal-05312943v1
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Non-asymptotic confidence intervals for importance sampling estimators of quantiles

Baalu Belay Ketema , Nicolas Bousquet , Francesco Costantino , Fabrice Gamboa , Bertrand Iooss et al.

55ème Journées de statistique de la SFdS, May 2024, Bordeaux, France

Communication dans un congrès hal-04660378v1
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Hidden But Essential Recipes for Successful Gaussian Process Metamodeling to Support Uncertainty Quantification in Numerical Simulation

Amandine Marrel , Bertrand Iooss

SIAM Conference on Uncertainty Quantification (UQ24), Feb 2024, Trieste, Italy

Communication dans un congrès cea-04506392v1
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Detecting outlying simulations in BEPU appraoches

Álvaro Rollón de Pinedo , M Couplet , N Seiler , A Marrel , E Merle et al.

Best Estimate Plus Uncertainty International Conference (BEPU 2024), May 2024, Lucca, Italy

Communication dans un congrès hal-04587938v1
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Gaussian process regression: new hyperparameter estimation algorithm for more reliable prediction

Bertrand Iooss , Amandine Marrel

SIAM Conference on Uncertainty Quantification (UQ24), Feb 2024, Trieste, Italy

Communication dans un congrès cea-04506405v1
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Application of SAPIUM guidelines to Input Uncertainty Quantification: the ATRIUM project

Alberto Ghione , Lucia Sargentini , Guillaume Damblin , Philippe Fillion , Jean Baccou et al.

20th International Topical Meeting on Nuclear Reactor Thermal Hydraulics (NURETH 20), American Nuclear Society, Aug 2023, Washington DC, United States. pp.5734-5747, ⟨10.13182/NURETH20-40380⟩

Communication dans un congrès cea-04191079v1
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Une méthode d'approximation des effets de Shapley en grande dimension

Bertrand Iooss , Laura Clouvel

54èmes Journées de Statistique, Jul 2023, Bruxelles, Belgique

Communication dans un congrès hal-04088622v1
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New estimation algorithm for more reliable prediction in Gaussian process regression: application to an aquatic ecosystem model

Amandine Marrel , Bertrand Iooss

Enbis 23 - The 23th annual conference of the European Network for Business and Industrial Statistics, ENBIS, Sep 2023, Valence, Spain

Communication dans un congrès cea-04216148v1
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The ICSCREAM methodology: identification of penalizing configurations in computer experiments using screening and metamodel applications in thermal-hydraulics

Amandine Marrel , Bertrand Iooss , Vincent Chabridon

UQ22 - SIAM Conference on Uncertainty Quantification, SIAM, Apr 2022, Atlanta, United States

Communication dans un congrès cea-03700747v1
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Projection de mesures de probabilité sous contraintes de quantile par distance de Wasserstein et approximation monotone polynomiale

Marouane Il Idrissi , Nicolas Bousquet , Fabrice Gamboa , Bertrand Iooss , Jean-Michel Loubes

53èmes Journées de Statistique de la Société Française de Statistique (SFdS), Jun 2022, Lyon, France

Communication dans un congrès hal-03597059v1
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Variance-based importance measures for machine learning model interpretability

Iooss Bertrand , Vincent Chabridon , Thouvenot Vincent

Congrès Lambda Mu 23 « Innovations et maîtrise des risques pour un avenir durable » - 23e Congrès de Maîtrise des Risques et de Sûreté de Fonctionnement, Institut pour la Maîtrise des Risques, Oct 2022, Paris Saclay, France

Communication dans un congrès hal-03878431v2
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Bayesian kriging : a comparison with validation criteria to ordinary kriging for radiological characterisation

Martin Wieskotten , Marielle Crozet , Bertrand Iooss , Céline Lacaux , Amandine Marrel

geoENV2022 - The 14th International Conference on Geostatistics for Environmental Applications, University of Parma; geoENVia, Jun 2022, Parme, Italy. pp.56-62

Communication dans un congrès cea-04743399v1

Prédictions géostatistiques avec des données censurées : application à la caractérisation radiologique pour le démantèlement des installations nucléaire

Marielle Crozet , Martin Wieskotten , Bertrand Iooss , Céline Lacaux , Nadia Perot

Journées de Statistiques JdS 2021, SFdS, Jun 2021, Nice, France

Communication dans un congrès cea-04720258v1
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Mesures d'importance relative par décomposition de la performance de modèles de régression

Marouane Il Idrissi , Bertrand Iooss , Vincent Chabridon

52èmes Journées de Statistique de la Société Française de Statistique (SFdS), Jun 2021, Nice, France

Communication dans un congrès hal-03149764v1
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Study of the effectiveness of Bayesian kriging for the decommissioning and dismantling of nuclear sites

Martin Wieskotten , Marielle Crozet , Bertrand Iooss , Céline Lacaux

European Network for Business and Industrial Statistics 2021, Sep 2021, Valence, Spain

Communication dans un congrès cea-04742897v1
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Robust tuning of Robbins-Monro algorithm for quantile estimation - Application to wind-farm asset management

Bertrand Iooss , Jérôme Lonchampt

ESREL 2021, Sep 2021, Angers, France

Communication dans un congrès hal-03191621v1
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Sample selection from a given dataset to validate machine learning models

Bertrand Iooss

50th Meeting of the Italian Statistical Society (SIS2021), Jun 2021, Pisa, Italy

Communication dans un congrès hal-03208245v1
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Etude de l’efficacité du krigeage bayésien pour l’assainissement/démantèlement de sites nucléaires

M. Wieskotten , M. Crozet , B. Iooss , C. Lacaux

Journées de Géostatistique 2021, Sep 2021, Fontainebleau, France

Communication dans un congrès cea-04742944v1
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prédictions géostatistiques avec des données censurées : application à la caractérisation radiologique pour le démantèlement des installations nucléaires

Martin Wieskotten , Marielle Crozet , Bertrand Iooss , Céline Lacaux , Nadia Perot

Journées de Statistiques, May 2020, Nice, France

Communication dans un congrès cea-04731474v1
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Estimation itérative en propagation d'incertitudes : réglage robuste de l'algorithme de Robbins-Monro

Bertrand Iooss

52èmes Journées de Statistiques de la Société Française de Statistique (SFdS), 2020, Nice, France. pp.466-471

Communication dans un congrès hal-02511787v1
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Iterative methods for improving error covariance modeling in variational assimilation

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

International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2019), Manolis Papadrakakis; Vissarion Papadopoulos; Georgios Stefanou, Jun 2019, Crete, Greece

Communication dans un congrès hal-02397315v1

Development of a systematic approach for quantification of thermal hydraulic code model input uncertainty

Jean Baccou , Jinzhao Zhang , Philippe Fillion , Guillaume Damblin , Alessandro Petruzzi et al.

NURETH2019 - 18th International Topical Meeting on Nuclear Reactor Thermal Hydraulics, Aug 2019, Portland (OR), United States. pp.3054-3067

Communication dans un congrès cea-04378696v1
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Advanced methodology for uncertainty propagation in computer experiments with large number of inputs

B. Iooss , A. Marrel

ANS Best Estimate Plus Uncertainty International Conference (BEPU 2018), May 2018, Lucca, Italy

Communication dans un congrès cea-02339307v1
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Advanced methodology for uncertainty propagation in computer experiments with large number of inputs : application to accidental scenario in a pressurized water reactor

A. Marrel , B. Iooss

European Safety and Reliability Conference (ESREL - 2018), Jun 2018, Trondheim, Norway

Communication dans un congrès hal-02415496v1
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SAPIUM a systematic approach for input uncertainty quantification

J. Baccou , D. Bestion , M. Couplet , G. Damblin , P. Fillion et al.

BEPU-2018, May 2018, Lucca, Italy

Communication dans un congrès cea-02338977v1
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An efficient methodology for the analysis and modeling of computer experiments with large number of inputs

Bertrand Iooss , Amandine Marrel

UNCECOMP 2017 2nd ECCOMAS Thematic Conference onUncertainty Quantification in Computational Sciences and Engineering, Jun 2017, Rhodes Island, Greece. pp.187-197, ⟨10.7712/120217.5362.16891⟩

Communication dans un congrès hal-01511505v1
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Melissa: Large Scale In Transit Sensitivity Analysis Avoiding Intermediate Files

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

The International Conference for High Performance Computing, Networking, Storage and Analysis (Supercomputing), Nov 2017, Denver, United States. pp.1 - 14

Communication dans un congrès hal-01607479v1
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Sensitivity analysis using perturbed-law based indices for quantiles and application to an industrial case

Roman Sueur , Bertrand Iooss , Thibault Delage

10th International Conference on Mathematical Methods in Reliability (MMR 2017), Jul 2017, Grenoble, France

Communication dans un congrès hal-01552361v1
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Statistical characterization of radiological contamination with small data samples

B. Iooss , N. Perot , T. Delage

DEM 2018, Oct 2018, Avignon, France

Communication dans un congrès hal-02415480v1
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Perturbed-Law based sensitivity Indices for sensitivity analysis in structural reliability

Roman Sueur , Nicolas Bousquet , Bertrand Iooss , Julien Bect

8th International Conference on Sensitivity Analysis of Model Output (SAMO 2016), Nov 2016, Le Tampon, Réunion, France. pp.89-90

Communication dans un congrès hal-01569578v1
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Stochastic simulators based optimization by Gaussian process metamodels - Application to maintenance investments planning issues

Thomas Browne , Bertrand Iooss , Loïc Le Gratiet , Jérome Lonchampt

ENBIS 2015, Sep 2015, Prague, Czech Republic

Communication dans un congrès hal-01198463v1
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Quantification et réduction de l'incertitude concernant les propriétés de monotonie d'un code de calcul coûteux à évaluer

Julien Bect , Nicolas Bousquet , Bertrand Iooss , Shijie Liu , Alice Mabille et al.

46èmes Journées de Statistique de la SFdS (JdS 2014), Jun 2014, Rennes, France. 6 p

Communication dans un congrès hal-01057322v1
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Visualization tools for uncertainty and sensitivity analyses on thermal-hydraulic transients

Anne-Laure Popelin , Bertrand Iooss

Joint International Conference on Supercomputing in Nuclear Applications and Monte Carlo 2013 (SNA + MC 2013), Oct 2013, Paris, France. pp.1

Communication dans un congrès hal-00952930v1
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Clustering "optimal" dans des espaces fonctionnels

Benjamin Auder , Bertrand Iooss

41èmes Journées de Statistique, SFdS, Bordeaux, 2009, Bordeaux, France, France

Communication dans un congrès inria-00386593v1
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Quantification des effets des propriétés matériau sur le résultat du calcul en simulation numérique du soudage

Matthieu Petelet , Olivier Asserina , Bertrand Iooss , Alexandre Loredoc

CFM 2007 - 18ème Congrès Français de Mécanique, Aug 2007, Grenoble, France

Communication dans un congrès hal-03360167v1

Global sensitivity analysis of stochastic computer models

Bertrand Iooss , M. Ribatet

38ièmes Journées de Statistiques, Clamart, 29 mai-2 juin 2006, 2006, pp.17

Communication dans un congrès hal-02588584v1
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Model predictivity assessment: incremental test-set selection and accuracy evaluation

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

Studies in Theoretical and Applied Statistics, SIS 2021, Pisa, Italy, June 21-25, 406, Springer, 2023, Springer Proceedings in Mathematics & Statistics, 978-3-031-16609-9. ⟨10.1007/978-3-031-16609-9_20⟩

Chapitre d'ouvrage hal-03523695v3
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Unlocking Large Scale Uncertainty Quantification with In Transit Iterative Statistics

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

In Situ Visualization for Computational Science, Springer International Publishing, pp.113-136, 2022, Mathematics and Visualization, 978-3-030-81626-1. ⟨10.1007/978-3-030-81627-8_6⟩

Chapitre d'ouvrage hal-03950616v1
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Title: Open TURNS: An industrial software for uncertainty quantification in simulation

Michaël Baudin , Anne Dutfoy , Bertrand Iooss , Anne-Laure Popelin

R. Ghanem, D. Higdon and H. Owhadi. Handbook of uncertainty quantification, Springer, 2017

Chapitre d'ouvrage hal-01107849v2
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Derivative based global sensitivity measures

Serge Kucherenko , Bertrand Iooss

R. Ghanem, D. Higdon and H. Owhadi (eds). Handbook of uncertainty quantification, Springer, 2017

Chapitre d'ouvrage hal-01079358v3
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A review on global sensitivity analysis methods

Bertrand Iooss , Paul Lemaître

C. Meloni and G. Dellino. Uncertainty management in Simulation-Optimization of Complex Systems: Algorithms and Applications, Springer, 2015

Chapitre d'ouvrage hal-00975701v1

Echantillonnage en grande dimension

Bertrand Iooss , Hervé Monod , Thierry Faure , Lauriane Rouan

Analyse de sensibilité et exploration de modèles : : Application aux sciences de la nature et de l'environnement, Editions Quae, pp.436, 2013, Savoir Faire (Quae), 978-2-7592-1906-3

Chapitre d'ouvrage hal-02809397v1

La boîte à outils Mexico, un environnement générique pour piloter l'exploration numérique de modèles ( Chapitre 9)

H. Richard , Hervé Monod , J. Wang , Jean Couteau , N. Dumoulin et al.

Analyse de sensibilité et exploration de modèles : application aux sciences de la nature et de l'environnement, Quae, pp.233-253, 2013, Savoir faire, 978-2-7592-1906-3

Chapitre d'ouvrage hal-02598481v1
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Data-driven discovery of dimensionless numbers and governing laws: A scaling technique for nuclear test facility design

Camille Razaire , Amandine Marrel , Bertrand Iooss , Sébastien Renaudière de Vaux , Jérome Cardolaccia

2026

Pré-publication, Document de travail cea-05528135v2
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Risk Measures in Reliability Engineering: Comparison, Duality and Decision-Making

Marie Temple-Boyer , Emma Cussenot , Guillaume Perrin , Vincent Chabridon , Julien Pelamatti et al.

2025

Pré-publication, Document de travail hal-05295409v1
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Conformal Approach To Gaussian Process Surrogate Evaluation With Coverage Guarantees

Edgar Jaber , Vincent Blot , Nicolas Brunel , Vincent Chabridon , Emmanuel Remy et al.

2024

Pré-publication, Document de travail hal-04389163v1
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Fisher-Rao distance between truncated distributions and robustness analysis in uncertainty quantification

Baalu Belay Ketema , Nicolas Bousquet , Francesco Costantino , Fabrice Gamboa , Bertrand Iooss et al.

2024

Pré-publication, Document de travail hal-04660215v1
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Uncertainty quantification and metamodeling of multi-fidelity CFD computation of a heated fuel assembly

Jean-François Wald , Bertrand Iooss

2025

Pré-publication, Document de travail hal-04694701v2
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Shapley effects and proportional marginal effects for global sensitivity analysis: application to computed tomography scan organ dose estimation

Anais Foucault , Marouane Il Idrissi , Bertrand Iooss , Sophie Ancelet

2023

Pré-publication, Document de travail hal-04114533v1
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Given-data probabilistic fatigue assessment for offshore wind turbines using Bayesian quadrature

Elias Fekhari , Vincent Chabridon , Joseph Muré , Bertrand Iooss

2023

Pré-publication, Document de travail hal-04052859v2
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Tools for global and target sensitivity analyses in the context of high-dimensional thermal-hydraulic numerical experiments

Vincent Chabridon , A. Marrel , B. Iooss

2020

Pré-publication, Document de travail hal-02877385v1
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Robust tuning of Robbins-Monro algorithm for quantile estimation in iterative uncertainty quantification

Bertrand Iooss

2020

Pré-publication, Document de travail hal-02918478v1
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Estimate of quantile-oriented sensitivity indices

Thomas Browne , Jean-Claude Fort , Bertrand Iooss , Loïc Le Gratiet

2017

Pré-publication, Document de travail hal-01450891v1