Bayesian statistics, treatment of uncertainties and risk in industrial and ecological resource management  Research Gate Linkedin  

Home page – Mascott-Num JOURNAL ARTICLES A review on global sensitivity analysis methods Uncertainty and sensitivity analysis of functional risk curves based on Gaussian processes Metamodeling with Gaussian processes – slides Metamodeling with Gaussian processes : references Chilès & Delfiner, Geostatistics, Wiley, 1999 Fang, Li & Sudjianto, Design and modeling for computer experiments, Chapman, 2006 … Read more

Home page Research interests Gaussian process modeling Covariance function estimation Uncertainty quantification for computer experiments Small-probability estimation Confidence intervals post-model-selection Ph.D thesis : Parametric estimation of covariance function in Gaussian-process based Kriging models. Application to uncertainty quantification for computer models