Bertrand Iooss

1. The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support
   2020/12/16 by Saman Razavi, Anthony J. Jakeman, Andrea Saltelli +23 · 16 citations
   Computer Science · Decision Sciences · #Advanced Multi-Objective Optimization Algorithms #Probabilistic and Robust Engineering Design
2. A review on global sensitivity analysis methods
   2014/04/09 by Bertrand Iooss, Iooss, Bertrand, Paul Lemaître +1 · 8 citations
   Decision Sciences · Engineering · Physics and Astronomy · #Applications (stat.AP) #FOS: Computer and information sciences #FOS: Mathematics #Model Reduction and Neural Networks #Nuclear Engineering Thermal-Hydraulics #Probabilistic and Robust Engineering Design #Statistics Theory (math.ST)
3. Shapley effects for sensitivity analysis with correlated inputs: comparisons with Sobol' indices, numerical estimation and applications
   2017/07/05 by Bertrand Iooss, Iooss, Bertrand, Clémentine Prieur +1 · 8 citations
   Decision Sciences · #FOS: Mathematics #Probabilistic and Robust Engineering Design #Statistics Theory (math.ST)
4. Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review
   2023/03/18 by Sibo Cheng, Cesar Quilodran-Casas, Cheng, Sibo +31 · 14 citations
   Earth and Planetary Sciences · Environmental Science · #Meteorological Phenomena and Simulations #Climate variability and models #Plant Water Relations and Carbon Dynamics
5. A Bayesian approach for global sensitivity analysis of (multi-fidelity) computer codes
   2013/07/08 by Loïc Le Gratiet, Claire Cannamela, Gratiet, Loic Le +3 · 4 citations
   Computer Science · Decision Sciences · #Advanced Multi-Objective Optimization Algorithms #FOS: Mathematics #Optimal Experimental Design Methods #Probabilistic and Robust Engineering Design #Statistics Theory (math.ST)
6. An efficient methodology for modeling complex computer codes with Gaussian processes
   2008/02/08 by Amandine Marrel, Marrel, Amandine, Bertrand Iooss +5 · 2 citations
   Computer Science · Decision Sciences · #Advanced Multi-Objective Optimization Algorithms #Applications (stat.AP) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Probabilistic and Robust Engineering Design
7. Proportional marginal effects for global sensitivity analysis
   2022/10/24 by Margot Hérin, Marouane Il Idrissi, Herin, Margot +5 · 3 citations
   Decision Sciences · #FOS: Computer and information sciences #FOS: Mathematics #Methodology (stat.ME) #Probabilistic and Robust Engineering Design #Statistics Theory (math.ST)
8. Global Sensitivity Analysis of Stochastic Computer Models with joint metamodels
   2008/02/04 by Bertrand Iooss, Mathieu Ribatet, Iooss, Bertrand +3 · 1 citation
   Computer Science · Decision Sciences · #Advanced Multi-Objective Optimization Algorithms #Applications (stat.AP) #FOS: Computer and information sciences #Methodology (stat.ME) #Probabilistic and Robust Engineering Design #Software Reliability and Analysis Research
9. Global sensitivity analysis of computer models with functional inputs
   2008/02/07 by Bertrand Iooss, Iooss, Bertrand, Mathieu Ribatet +1 · 1 citation
   Computer Science · Decision Sciences · Engineering · #Advanced Multi-Objective Optimization Algorithms #Applications (stat.AP) #FOS: Computer and information sciences #FOS: Mathematics #Nuclear Engineering Thermal-Hydraulics #Probabilistic and Robust Engineering Design #Statistics Theory (math.ST)
10. Density modification based reliability sensitivity analysis
    2012/10/03 by Paul Lemaître, Ekatarina Sergienko, Lemaître, Paul +9 · 1 citation
    Computer Science · Decision Sciences · Engineering · #Advanced Multi-Objective Optimization Algorithms #FOS: Mathematics #Fatigue and fracture mechanics #Probabilistic and Robust Engineering Design #Statistics Theory (math.ST)
11. Stochastic simulators based optimization by Gaussian process metamodels\n -- Application to maintenance investments planning issues
    2015/12/22 by Thomas Browne, Browne, Thomas, Bertrand Iooss +7 · 1 citation
    Engineering · #FOS: Computer and information sciences #FOS: Mathematics #Manufacturing Process and Optimization #Methodology (stat.ME) #Statistics Theory (math.ST) #Technology Assessment and Management
12. Optimal Uncertainty Quantification of a risk measurement from a\n thermal-hydraulic code using Canonical Moments
    2019/01/22 by Jérôme Stenger, Stenger, Jerome, Fabrice Gamboa +5 · 1 citation
    Decision Sciences · Engineering · #Applications (stat.AP) #FOS: Computer and information sciences #FOS: Mathematics #Fault Detection and Control Systems #Methodology (stat.ME) #Nuclear Engineering Thermal-Hydraulics #Probabilistic and Robust Engineering Design #Probability (math.PR)
13. The ICSCREAM methodology: Identification of penalizing configurations in computer experiments using screening and metamodel -- Applications in thermal-hydraulics
    2020/04/08 by Amandine Marrel, Marrel, A., Bertrand Iooss +3 · 1 citation
    Decision Sciences · Engineering · #Computational Engineering #FOS: Computer and information sciences #FOS: Mathematics #Fault Detection and Control Systems #Finance #Nuclear Engineering Thermal-Hydraulics #Probabilistic and Robust Engineering Design #Statistics Theory (math.ST) #and Science (cs.CE)
14. Quantile-constrained Wasserstein projections for robust interpretability of numerical and machine learning models
    2022/09/23 by Marouane Il Idrissi, Nicolás Bousquet, Idrissi, Marouane Il +7 · 1 citation
    Decision Sciences · Physics and Astronomy · #Probabilistic and Robust Engineering Design #Model Reduction and Neural Networks