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ORCIDMatieyendou Lamboni
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2020 – today
- 2024
[j12]Matieyendou Lamboni:
Derivative Formulas and Gradient of Functions with Non-Independent Variables. Axioms 12(9): 845 (2024)- [j11]Matieyendou Lamboni:
Optimal and Efficient Approximations of Gradients of Functions with Nonindependent Variables. Axioms 13(7): 426 (2024) - 2022
- [j10]Matieyendou Lamboni:
Weak derivative-based expansion of functions: ANOVA and some inequalities. Math. Comput. Simul. 194: 691-718 (2022) - [j9]Matieyendou Lamboni:
Efficient dependency models: Simulating dependent random variables. Math. Comput. Simul. 200: 199-217 (2022) - 2021
- [j8]Sébastien Roux, Samuel Buis
, François Lafolie, Matieyendou Lamboni:
Cluster-based GSA: Global sensitivity analysis of models with temporal or spatial outputs using clustering. Environ. Model. Softw. 140: 105046 (2021) - [j7]Matieyendou Lamboni:
Derivative-based integral equalities and inequality: A proxy-measure for sensitivity analysis. Math. Comput. Simul. 179: 137-161 (2021) - [j6]Matieyendou Lamboni, Sergei S. Kucherenko:
Multivariate sensitivity analysis and derivative-based global sensitivity measures with dependent variables. Reliab. Eng. Syst. Saf. 212: 107519 (2021) - 2020
- [j5]Matieyendou Lamboni:
Derivative-based generalized sensitivity indices and Sobol' indices. Math. Comput. Simul. 170: 236-256 (2020)
2010 – 2019
- 2019
- [j4]Matieyendou Lamboni:
Multivariate sensitivity analysis: Minimum variance unbiased estimators of the first-order and total-effect covariance matrices. Reliab. Eng. Syst. Saf. 187: 67-92 (2019) - 2016
- [j3]Matieyendou Lamboni, Renate Koeble, Adrian Leip:
Multi-scale land-use disaggregation modelling: Concept and application to EU countries. Environ. Model. Softw. 82: 183-217 (2016) - 2013
- [j2]Matieyendou Lamboni, Bertrand Iooss, A.-L. Popelin, Fabrice Gamboa:
Derivative-based global sensitivity measures: General links with Sobol' indices and numerical tests. Math. Comput. Simul. 87: 45-54 (2013) - 2011
- [j1]Matieyendou Lamboni, Hervé Monod, David Makowski:
Multivariate sensitivity analysis to measure global contribution of input factors in dynamic models. Reliab. Eng. Syst. Saf. 96(4): 450-459 (2011)
2000 – 2009
- 2009
- [b1]Matieyendou Lamboni:
Analyse de sensibilité pour les modèles dynamiques utilisés en agronomie et environnement. (Multivariate global sensitivity analysis for dynamic crop models). Agro ParisTech, France, 2009
Coauthor Index
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