Stochastic Kriging for Simulation Metamodeling, Operations Research, vol.58, issue.2, pp.371-382, 2010. ,
DOI : 10.1287/opre.1090.0754
Computer model validation with functional output. The Annals of Statistics, pp.1874-1906, 2007. ,
Sequential design of computer experiments for the estimation of a probability of failure, Statistics and Computing, vol.34, issue.4, pp.773-793, 2012. ,
DOI : 10.1007/s11222-011-9241-4
URL : https://hal.archives-ouvertes.fr/hal-00689580
Développement d'´ emulateurs de codes stochastiques pour la résolution de probì emes d'optimisation robuste par algorithmes génétiques, 2014. ,
Screening experiments for dispersion effects Screening -Methods for experimentation in industry, drug discovery and genetics, 2006. ,
Uncertainty management in simulation-optimization of complex systems, 2015. ,
DOI : 10.1007/978-1-4899-7547-8
Design and modeling for computer experiments, 2006. ,
DOI : 10.1201/9781420034899
Efficient global optimization of expensive blackbox functions, Journal of Global Optimization, vol.13, issue.4, pp.455-492, 1998. ,
DOI : 10.1023/A:1008306431147
Design and analysis of simulation experiments, 2008. ,
DOI : 10.1007/978-3-319-18087-8
A Bayesian approach for global sensitivity analysis of (multifidelity) computer codes, SIAM/ASA Journal of Uncertainty Quantification, vol.2, pp.336-363, 2014. ,
URL : https://hal.archives-ouvertes.fr/hal-00842432
An optimization approach for life cycle management applied to large power transformers, EPRI Report, 2012. ,
Investments portfolio optimal planning, a tool for an intergrated life management, ANS embedded meeting on Risk Management for Complex Socio-technical Systems (RM4CSS), 2013. ,
Global sensitivity analysis for models with spatially dependent outputs, Environmetrics, vol.34, issue.1, pp.383-397, 2011. ,
DOI : 10.1002/env.1071
URL : https://hal.archives-ouvertes.fr/hal-00430171
An efficient methodology for modeling complex computer codes with Gaussian processes, Computational Statistics & Data Analysis, vol.52, issue.10, pp.4731-4744, 2008. ,
DOI : 10.1016/j.csda.2008.03.026
URL : https://hal.archives-ouvertes.fr/hal-00239492
Global sensitivity analysis of stochastic computer models with joint metamodels, Statistics and Computing, vol.44, issue.1, pp.833-847, 2012. ,
DOI : 10.1007/s11222-011-9274-8
URL : https://hal.archives-ouvertes.fr/hal-00232805
Emulators for stochastic simulation codes, ESAIM: Proceedings and Surveys, vol.48, pp.116-155, 2015. ,
DOI : 10.1051/proc/201448005
URL : https://hal.archives-ouvertes.fr/hal-01011770
A general multipurpose interpolation procedure: the magic points, Proceedings of the 2nd International Conference on Scientific Computing and Partial Differential Equations, 2007. ,
DOI : 10.3934/cpaa.2009.8.383
URL : https://hal.archives-ouvertes.fr/hal-00174797
Quantile-Based Optimization of Noisy Computer Experiments With Tunable Precision, Technometrics, vol.50, issue.2088, pp.2-13, 2013. ,
DOI : 10.1080/00401706.2012.707580
URL : https://hal.archives-ouvertes.fr/hal-00578550
Variable selection for high dimensional Bayesian density estimation: application to human exposure simulation, Journal of the Royal Statistical Society: Series C (Applied Statistics), vol.64, issue.1, pp.47-66, 2012. ,
DOI : 10.1111/j.1467-9876.2011.00772.x
Design and Analysis of Computer Experiments, Statistical Science, vol.4, issue.4, pp.409-435, 1989. ,
DOI : 10.1214/ss/1177012413
Interpolation of spatial data, 1999. ,
DOI : 10.1007/978-1-4612-1494-6