J. Bect, . Ginsbourger, . Li, E. Picheny, and . Vasquez, 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

B. Bichon, S. Mcfarlan, and . Mahadevan, Efficient surrogate models for reliability analysis of systems with multiple failure modes, Reliability Engineering & System Safety, vol.96, issue.10, pp.1386-95, 2011.
DOI : 10.1016/j.ress.2011.05.008

B. Bichon, M. Eldred, L. Swiler, J. Mahadevan, and . Mcfarland, Efficient global reliability analysis for non linear implicit performance functions, AIAA Journal, issue.10, pp.462459-2468, 2008.

E. Castillo, J. Sarabia, C. Solares, and P. Gomez, Uncertainty analyses in fault trees and Bayesian networks using FORM/SORM methods, Reliability Engineering and System Safety, 1999.
DOI : 10.1016/S0951-8320(98)00083-0

C. Chevalier, . Bect, . Ginsbourger, . Vazquez, Y. Picheny et al., Fast Parallel Kriging-Based Stepwise Uncertainty Reduction With Application to the Identification of an Excursion Set, Technometrics, vol.13, issue.4, pp.455-465, 2014.
DOI : 10.1007/3-540-50871-6

URL : https://hal.archives-ouvertes.fr/hal-00641108

B. Echard, M. Gayton, and . Lemaire, AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation, Structural Safety, vol.33, issue.2, pp.145-154, 2011.
DOI : 10.1016/j.strusafe.2011.01.002

K. Fang, A. Li, and . Sudjianto, Design and modeling for computer experiments, Computer Science and Data Analysis Series, vol.8, 2006.
DOI : 10.1201/9781420034899

W. Fauriat and N. Gayton, AK-SYS: An adaptation of the AK-MCS method for system reliability, Reliability Engineering & System Safety, vol.123, pp.137-144, 2014.
DOI : 10.1016/j.ress.2013.10.010

J. Hortado, Structural reliability -Statistical learning perspectives Lectures notes in applied and computational mechanics, 2002.

M. Kennedy and A. Hagan, Bayesian calibration of computer models, Journal of the Royal Statistical Society: Series B (Statistical Methodology), vol.63, issue.3, pp.425-464, 2001.
DOI : 10.1111/1467-9868.00294

M. Lemaire, Structural reliability, 2009.
DOI : 10.1002/9780470611708

R. Rackwitz and B. Fiessler, Structural reliability under combined random load sequences, Computers & Structures, vol.9, issue.5, pp.479-484, 1978.
DOI : 10.1016/0045-7949(78)90046-9

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

T. Santner, W. Williams, and . Notz, The design and analysis of computer experiments, 2003.
DOI : 10.1007/978-1-4757-3799-8

B. Scholkopf and A. Smola, Learning With Kernels : Support Vector Machines, Regularization, Optimization and Beyond, 2002.

A. Takeshi, Advanced econometrics, 1985.

V. Vapnik, Statistical Learning Theory, 1998.