An improved adaptive kriging-based importance technique for sampling multiple failure regions of low probability, Reliability Engineering and System Safety, vol.131, pp.109-117, 2014. ,
Simulation and the Monte-Carlo method, 1981. ,
Monte-Carlo: concepts, algorithms and applications, 1996. ,
DOI : 10.1007/978-1-4757-2553-7
A fast and efficient response surface approach for structural reliability problems, Struct Saf, vol.7, pp.57-66, 1990. ,
Stochastic finite elements: a spectral approach, 1991. ,
Reliability-based structural optimization using neural networks and monte carlo simulation, Comput Methods Appl Mech Eng, vol.191, issue.32, pp.3491-507, 2002. ,
Efficient global reliability analysis for nonlinear implicit performance functions, AIAA J, vol.46, issue.10, pp.2459-68, 2005. ,
Ak-mcs: An active learning reliability method combining kriging and monte carlo simulation, Reliability Engineering and System Safety, vol.33, pp.145-154, 2011. ,
A combined inportance sampling and kriging reliability method for small failure probabilities with time-demanding numerical models, Reliability Engineering and System Safety, vol.111, pp.232-240, 2013. ,
An efficient reliability method combining adaptive importance sampling and kriging metamodel, Applied Mathematical Modelling, vol.39, pp.1853-66, 2015. ,
Assessing small failure probabilities by akâ??ss: An active learning method combining kriging and subset simulation, Structural Safety, vol.59, pp.86-95, 2016. ,
Metamodel-based importance sampling for structural reliability analysis, Probabilistic Engineering Mechanics, vol.33, pp.47-57, 2013. ,
URL : https://hal.archives-ouvertes.fr/hal-00590604
Improved metamodel-based importance sampling for the performance assessment of radiactive waste repositories, Reliability Engineering and System Safety, vol.134, pp.188-197, 2015. ,
Some methods for classification and analysis of multivariate observations, Proceedings of the Berkeley symposium on mathematical statistics and probability, 1967. ,
The design and analysis of computer experiments, 2013. ,
Gaussian Processes for Machine Learning, 2006. ,
A gaussian process framework in python, 2012. ,
Estimation of small failure probabilities in high dimensions by subset simulation, Prob. Eng. Mech, vol.16, pp.263-277, 2001. ,