B. Ankenman, B. L. Nelson, and J. Staum, Stochastic Kriging for Simulation Metamodeling, Operations Research, vol.58, issue.2, pp.371-382, 2010.
DOI : 10.1287/opre.1090.0754

M. J. Bayarri, J. O. Berger, J. Cafeo, G. Garcia-donato, F. Liu et al., Computer model validation with functional output. The Annals of Statistics, pp.1874-1906, 2007.

J. Bect, D. Ginsbourger, L. Li, V. Picheny, and E. Vazquez, 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

T. Browne, Développement d'´ emulateurs de codes stochastiques pour la résolution de probì emes d'optimisation robuste par algorithmes génétiques, 2014.

D. Bursztyn and D. M. Steinberg, Screening experiments for dispersion effects Screening -Methods for experimentation in industry, drug discovery and genetics, 2006.

G. Dellino and C. Meloni, Uncertainty management in simulation-optimization of complex systems, 2015.
DOI : 10.1007/978-1-4899-7547-8

K. Fang, R. Li, and A. Sudjianto, Design and modeling for computer experiments, 2006.
DOI : 10.1201/9781420034899

D. R. Jones, M. Schonlau, and W. J. Welch, Efficient global optimization of expensive blackbox functions, Journal of Global Optimization, vol.13, issue.4, pp.455-492, 1998.
DOI : 10.1023/A:1008306431147

J. P. Kleijnen, Design and analysis of simulation experiments, 2008.
DOI : 10.1007/978-3-319-18087-8

L. , L. Gratiet, C. Cannamela, and B. Iooss, 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

J. Lonchampt and K. Fessart, An optimization approach for life cycle management applied to large power transformers, EPRI Report, 2012.

J. Lonchampt and K. Fessart, Investments portfolio optimal planning, a tool for an intergrated life management, ANS embedded meeting on Risk Management for Complex Socio-technical Systems (RM4CSS), 2013.

A. Marrel, B. Iooss, M. Jullien, B. Laurent, and E. Volkova, 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

A. Marrel, B. Iooss, F. Van-dorpe, and E. Volkova, 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

A. Marrel, B. Iooss, S. D. Veiga, and M. Ribatet, 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

V. Moutoussamy, S. Nanty, and B. Pauwels, 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

Y. Maday, N. C. Nguyen, A. T. Patera, and G. S. Pau, 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

V. Picheny, D. Ginsbourger, Y. Richet, and G. Caplin, 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

B. J. Reich, E. Kalendra, C. B. Storlie, H. D. Bondell, and M. Fuentes, 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

J. Sacks, W. J. Welch, T. J. Mitchell, and H. P. Wynn, Design and Analysis of Computer Experiments, Statistical Science, vol.4, issue.4, pp.409-435, 1989.
DOI : 10.1214/ss/1177012413

M. L. Stein, Interpolation of spatial data, 1999.
DOI : 10.1007/978-1-4612-1494-6