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  • Thierry A. Mara, Noura Fajraoui, Alberto Guadagnini, Anis Younes. Dimensionality reduction for efficient Bayesian estimation of groundwater flow in strongly heterogeneous aquifers. Stochastic Environmental Research and Risk Assessment, Springer Verlag (Germany), 2016, <10.1007/s00477-016-1344-1>. <hal-01427673>
  • Anis Younes, Frédérick Delay, Noura Fajraoui, M. Fahs, Thierry A. Mara. Global sensitivity analysis and Bayesian parameter inference for solute transport in porous media colonized by biofilms. Journal of Contaminant Hydrology, Elsevier, 2016, 191, pp.1-18. <10.1016/j.jconhyd.2016.04.007>. <hal-01391887>
  • Thierry A. Mara, Noura Fajraoui, Anis Younes, Frederick Delay. Inversion and uncertainty of highly parameterized models in a Bayesian framework by sampling the maximal conditional posterior distribution of parameters . Advances in Water Resources, Elsevier, 2015, 76, pp.1 - 10. <10.1016/j.advwatres.2014.11.013>. <hal-01098506>
  • A. Younes, Thierry A. Mara, Noura Fajraoui, François Lehmann, Benjamin Belfort, et al.. Use of Global Sensitivity Analysis to Help Assess Unsaturated Soil Hydraulic Parameters. Vadose Zone Journal, 2013, 12 (1), pp.1-12. <10.2136/vzj2011.0150>. <hal-01096940>
  • Noura Fajraoui, Thierry A. Mara, Anis Younes, R. Bouhlila. Reactive Transport Parameter Estimation and Global Sensitivity Analysis Using Sparse Polynomial Chaos Expansion. Water, Air, & Soil Pollution, 2012, 223 (7), pp.4183--4197. <10.1007/s11270-012-1183-8>. <hal-00918155>

Thèse1 document

  • Noura Fajraoui. Analyse de sensibilité globale et polynômes de chaos pour l'estimation des paramètres : application aux transferts en milieu poreux. Autre [cond-mat.other]. Université de Strasbourg, 2014. Français. <NNT : 2014STRAH001>. <tel-01019528>