Bayesian Analysis of Hierarchical Multifidelity Codes. - Loïc Le Gratiet (SIAM/ASA J. Uncertain. Quantification, 2013)

A Bayesian Approach for Global Sensitivity Analysis of (Multifidelity) Computer Codes. - Loïc Le Gratiet; Claire Cannamela; Bertrand Iooss (SIAM/ASA J. Uncertain. Quantification, 2014)

Asymptotic analysis of the learning curve for Gaussian process regression. - Loïc Le Gratiet; Josselin Garnier (Mach. Learn., 2015)

Cokriging-Based Sequential Design Strategies Using Fast Cross-Validation Techniques for Multi-Fidelity Computer Codes. - Loïc Le Gratiet; Claire Cannamela (Technometrics, 2015)

Stochastic Simulators Based Optimization by Gaussian Process Metamodels - Application to Maintenance Investments Planning Issues. - Thomas Browne; Bertrand Iooss; Loïc Le Gratiet; Jérôme Lonchampt; Emmanuel Remy (Qual. Reliab. Eng. Int., 2016)

Uncertainty and sensitivity analysis of functional risk curves based on Gaussian processes. - Bertrand Iooss; Loïc Le Gratiet (Reliab. Eng. Syst. Saf., 2019)

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 (Qual. Reliab. Eng. Int., 2022)