Number of documents


Journal articles17 documents

  • Olivier Roustant, Franck Barthe, Bertrand Iooss. Poincaré inequalities on intervals – application to sensitivity analysis. Electronic journal of statistics , Shaker Heights, OH : Institute of Mathematical Statistics, 2017, 11 (2), pp.3081 - 3119. ⟨10.1214/17-EJS1310⟩. ⟨hal-01388758v2⟩
  • Loïc Le Gratiet, Bertrand Iooss, Géraud Blatman, Thomas Browne, Sara Cordeiro, et al.. Model Assisted Probability of Detection curves: New statistical tools and progressive methodology. Journal of Nondestructive Evaluation, Springer Verlag, 2017, 36 (1). ⟨hal-01260335⟩
  • Tatiana Labopin-Richard, Fabrice Gamboa, Aurélien Garivier, Bertrand Iooss. Bregman superquantiles. Estimation methods and applications.. Dependence Modeling, De Gruyter, 2016, 4 (1), pp.1-33. ⟨hal-00996440v8⟩
  • Thomas Browne, Bertrand Iooss, Loïc Le Gratiet, Jérôme Lonchampt, Emmanuel Remy. Stochastic simulators based optimization by Gaussian process metamodels -Application to maintenance investments planning issues Short title: Metamodel-based optimization of stochastic simulators. Quality and Reliability Engineering International, Wiley, 2016, 32 (6). ⟨hal-01242478v2⟩
  • Matieyendou Lamboni, Bertrand Iooss, Anne-Laure Popelin, Fabrice Gamboa. Derivative-based global sensitivity measures: general links with Sobol' indices and numerical tests. Mathematics and Computers in Simulation, Elsevier, 2013, 87, pp.45-54. ⟨hal-00666473v2⟩
  • Guillaume Damblin, Mathieu Couplet, Bertrand Iooss. Numerical studies of space filling designs: optimization of Latin Hypercube Samples and subprojection properties. Journal of Simulation, Palgrave Macmillan, 2013, 7, pp.276-289. ⟨hal-00848240⟩
  • Amandine Marrel, Bertrand Iooss, Sébastien da Veiga, Mathieu Ribatet. Global sensitivity analysis of stochastic computer models with joint metamodels. Statistics and Computing, Springer Verlag (Germany), 2012, 22, pp.833-847. ⟨hal-00525489v2⟩
  • Benjamin Auder, Agnes de Crecy, Bertrand Iooss, Michel Marques. Screening and metamodeling of computer experiments with functional outputs. Application to thermal-hydraulic computations. Reliability Engineering and System Safety, Elsevier, 2012, 107, pp.122-131. ⟨hal-00525491v2⟩
  • Bertrand Iooss. Revue sur l'analyse de sensibilité globale de modèles numériques. Journal de la Société Française de Statistique, Société Française de Statistique et Société Mathématique de France, 2011, 152 (1), pp.1-23. ⟨hal-00503179v2⟩
  • Olivier Asserin, Alexandre Loredo, Matthieu Petelet, Bertrand Iooss. Global sensitivity analysis in welding simulations -- what are the material data you really need ?. Finite Elements in Analysis and Design, Elsevier, 2011, 47 (9), pp.1004-1016. ⟨10.1016/j.finel.2011.03.016⟩. ⟨hal-00419162⟩
  • Amandine Marrel, Bertrand Iooss, Michel Jullien, Beatrice Laurent, Elena Volkova. Global sensitivity analysis for models with spatially dependent outputs. Environmetrics, Wiley, 2011, 22, pp.383-397. ⟨hal-00430171v4⟩
  • Bertrand Iooss, Loïc Boussouf, Vincent Feuillard, Amandine Marrel. Numerical studies of the metamodel fitting and validation processes. International Journal On Advances in Systems and Measurements, IARIA, 2010, 3, pp.11-21. ⟨hal-00444666v2⟩
  • Matthieu Petelet, Bertrand Iooss, Olivier Asserin, Alexandre Loredo. Latin hypercube sampling with inequality constraints. AStA Advances in Statistical Analysis, Springer Verlag, 2010, 94, pp.325-339. ⟨hal-00412235v3⟩
  • Bertrand Iooss, Mathieu Ribatet. Global sensitivity analysis of computer models with functional inputs. Reliability Engineering and System Safety, Elsevier, 2009, 94 (7), pp.1194-1204. ⟨hal-00243156v2⟩
  • Amandine Marrel, Bertrand Iooss, Beatrice Laurent, Olivier Roustant. Calculations of Sobol indices for the Gaussian process metamodel. Reliability Engineering and System Safety, Elsevier, 2009, 94, pp.742-751. ⟨10.1016/j.ress.2008.07.008⟩. ⟨hal-00239494⟩
  • Amandine Marrel, Bertrand Iooss, Francois van Dorpe, Elena Volkova. An efficient methodology for modeling complex computer codes with Gaussian processes. Computational Statistics and Data Analysis, Elsevier, 2008, 52, pp.4731-4744. ⟨10.1016/j.csda.2008.03.026⟩. ⟨hal-00239492v2⟩
  • Claire Cannamela, Josselin Garnier, Bertrand Iooss. Controlled stratification for quantile estimation. Annals of Applied Statistics, Institute of Mathematical Statistics, 2008, 2 (4), pp.1554-1580. ⟨hal-00256644⟩

Conference papers6 documents

  • Théophile Terraz, Alejandro Ribes, Yvan Fournier, Bertrand Iooss, Bruno Raffin. Melissa: Large Scale In Transit Sensitivity Analysis Avoiding Intermediate Files. The International Conference for High Performance Computing, Networking, Storage and Analysis (Supercomputing), Nov 2017, Denver, United States. pp.1 - 14. ⟨hal-01607479⟩
  • Roman Sueur, Nicolas Bousquet, Bertrand Iooss, Julien Bect. Perturbed-Law based sensitivity Indices for sensitivity analysis in structural reliability. 8th International Conference on Sensitivity Analysis of Model Output (SAMO 2016), Nov 2016, Le Tampon, Réunion, France. pp.89-90. ⟨hal-01569578⟩
  • Thomas Browne, Bertrand Iooss, Loïc Le Gratiet, Jérome Lonchampt. Stochastic simulators based optimization by Gaussian process metamodels - Application to maintenance investments planning issues. ENBIS 2015, Sep 2015, Prague, Czech Republic. ⟨hal-01198463⟩
  • Julien Bect, Bousquet Nicolas, Bertrand Iooss, Shijie Liu, Alice Mabille, et al.. Quantification et réduction de l'incertitude concernant les propriétés de monotonie d'un code de calcul coûteux à évaluer. 46èmes Journées de Statistique de la SFdS (JdS 2014), Jun 2014, Rennes, France. 6 p. ⟨hal-01057322⟩
  • Anne-Laure Popelin, Bertrand Iooss. Visualization tools for uncertainty and sensitivity analyses on thermal-hydraulic transients. Joint International Conference on Supercomputing in Nuclear Applications and Monte Carlo 2013 (SNA + MC 2013), Oct 2013, Paris, France. pp.1. ⟨hal-00952930⟩
  • Benjamin Auder, Bertrand Iooss. Clustering "optimal" dans des espaces fonctionnels. 41èmes Journées de Statistique, SFdS, Bordeaux, 2009, Bordeaux, France, France. ⟨inria-00386593⟩

Poster communications1 document

  • Julien Bect, Nicolas Bousquet, Bertrand Iooss, Shijie Liu, Alice Mabille, et al.. Uncertainty quantification and reduction for the monotonicity properties of expensive-to-evaluate computer models. Uncertainty in Computer Models 2014 Conference, Jul 2014, Sheffield, United Kingdom. ⟨hal-01103724⟩

Book sections2 documents

  • Serge Kucherenko, Bertrand Iooss. Derivative based global sensitivity measures. R. Ghanem, D. Higdon and H. Owhadi (eds). Handbook of uncertainty quantification, Springer, 2017. ⟨hal-01079358v3⟩
  • Bertrand Iooss, Paul Lemaître. A review on global sensitivity analysis methods. C. Meloni and G. Dellino. Uncertainty management in Simulation-Optimization of Complex Systems: Algorithms and Applications, ⟨Springer⟩, 2015. ⟨hal-00975701⟩

Other publications1 document

  • Bertrand Iooss, Mathieu Ribatet, Amandine Marrel. Global Sensitivity Analysis of Stochastic Computer Models with joint metamodels. 2009. ⟨hal-00232805v3⟩

Preprints, Working Papers, ...10 documents

  • Etienne Le Mire, Emilien Burger, Bertrand Iooss, Chu Mai. Prediction of crack propagation kinetics through multipoint stochastic simulations of microscopic fields. 2019. ⟨hal-02068315⟩
  • Jerome Stenger, Fabrice Gamboa, Merlin Keller, Bertrand Iooss. Optimal Uncertainty Quantification of a risk measurement from a thermal-hydraulic code using Canonical Moments. 2019. ⟨hal-01987449v2⟩
  • Bertrand Iooss, Clémentine Prieur. Shapley effects for sensitivity analysis with correlated inputs: comparisons with Sobol' indices, numerical estimation and applications. 2019. ⟨hal-01556303v6⟩
  • Sibo Cheng, Jean-Philippe Argaud, Bertrand Iooss, Didier Lucor, Angélique Ponçot. Background Error Covariance Iterative Updating with Invariant Observation Measures for Data Assimilation. 2019. ⟨hal-02307657⟩
  • Bertrand Iooss, Amandine Marrel. Advanced methodology for uncertainty propagation in computer experiments with large number of inputs. 2018. ⟨hal-01907198v2⟩
  • Roman Sueur, Bertrand Iooss, Thibault Delage. Sensitivity analysis using perturbed-law based indices for quantiles and application to an industrial case. 2017. ⟨hal-01552361⟩
  • Thomas Browne, Jean-Claude Fort, Bertrand Iooss, Loïc Le Gratiet. Estimate of quantile-oriented sensitivity indices. 2017. ⟨hal-01450891⟩
  • Bertrand Iooss, Loïc Le Gratiet. Uncertainty and sensitivity analysis of functional risk curves based on Gaussian processes. 2016. ⟨hal-01357005v3⟩
  • Olivier Roustant, Jana Fruth, Bertrand Iooss, Sonja Kuhnt. Crossed-Derivative Based Sensitivity Measures for Interaction Screening. 2014. ⟨hal-00845446v2⟩
  • Loic Le Gratiet, Claire Cannamela, Bertrand Iooss. A Bayesian approach for global sensitivity analysis of (multi-fidelity) computer codes. 2013. ⟨hal-00842432⟩

Reports2 documents

  • Alejandro Ribes, Théophile Terraz, Bertrand Iooss, Yvan Fournier, Bruno Raffin. Large scale in transit computation of quantiles for ensemble runs. [Research Report] EDF R&D. 2019. ⟨hal-02016828v2⟩
  • Paul Lemaître, Ekatarina Sergienko, Aurélie Arnaud, Nicolas Bousquet, Fabrice Gamboa, et al.. Density modification based reliability sensitivity analysis. 2012. ⟨hal-00737978v3⟩

Habilitation à diriger des recherches1 document

  • Bertrand Iooss. Contributions au traitement des incertitudes en modélisation numérique : propagation d'ondes en milieu aléatoire et analyse statistique d'expériences simulées. Mathématiques [math]. Université Paul Sabatier - Toulouse III, 2009. ⟨tel-00360995⟩