C. Cannamela, J. Garnier, and B. Iooss, Controlled stratification for quantile estimation, The Annals of Applied Statistics, vol.2, issue.4, pp.1554-1580, 2008.
DOI : 10.1214/08-AOAS186

URL : https://hal.archives-ouvertes.fr/hal-00355016

J. Chiì-es and P. Delfiner, Geostatistics : Modeling Spatial Uncertainty, 1999.

P. W. Glynn, Importance sampling for Monte Carlo estimation of quantiles, Proceedings of the Second International Workshop on Mathematical Methods in Stochastic Simulation and Experimental Design, pp.180-185, 1996.

T. C. Hesterberg and B. L. Nelson, Control Variates for Probability and Quantile Estimation, Management Science, vol.44, issue.9, pp.1295-1312, 1998.
DOI : 10.1287/mnsc.44.9.1295

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

J. Mockus, Bayesian Approach to Global Optimization : Theory and Applications, 1989.

J. Oakley, Estimating percentiles of uncertain computer code outputs, Journal of the Royal Statistical Society: Series C (Applied Statistics), vol.14, issue.1, pp.83-93, 2004.
DOI : 10.1111/1467-9884.00300

E. Vazquez and J. Bect, A sequential Bayesian algorithm to estimate a probability of failure, 15th IFAC Symposium on System Identification, SYSID09, p.546, 2009.
DOI : 10.3182/20090706-3-FR-2004.00090

URL : https://hal.archives-ouvertes.fr/hal-00368158

J. Villemonteix, E. Vazquez, and E. Walter, An informational approach to the global optimization of expensive-to-evaluate functions, Journal of Global Optimization, vol.10, issue.5, pp.509-534, 2009.
DOI : 10.1007/s10898-008-9354-2

URL : https://hal.archives-ouvertes.fr/hal-00354262

L. Wasserman, All of nonparametric statistics, 2006.