M. Baudin and J. Martinez, Polynômes de chaos sous scilab via la librairie nisp, Soumission aux Journées de statistiques, 2010.

M. Berveiller, Eléments finis stochastiques : approches intrusive et non intrusive pour des analyses de fiabilité, 2005.

G. Blatman, Adaptive sparse polynomial chaos expansions for uncertainty propagation and sensitivity analysis, 2009.
URL : https://hal.archives-ouvertes.fr/tel-00440197

T. Crestaux, O. L. Ma??trema??tre, and J. Martinez, Polynomial chaos expansion for sensitivity analysis, Reliability Engineering & System Safety, vol.94, issue.7, pp.1161-1172, 2009.
DOI : 10.1016/j.ress.2008.10.008

B. Efron, T. Hastie, I. Johnstone, and R. Tibshirani, Least angle regression, Annals of Statistics, vol.32, pp.407-499, 2004.

R. Ghanem and P. Spanos, Stochastic finite elements ? A spectral approach, 1991.
DOI : 10.1007/978-1-4612-3094-6

D. Montgomery, Design and analysis of experiments, 2004.

I. Sobol, Sensitivity estimates for nonlinear mathematical models, Math. Modeling & Comp. Exp, vol.1, pp.407-414, 1993.

C. Soize and R. Ghanem, Physical Systems with Random Uncertainties: Chaos Representations with Arbitrary Probability Measure, SIAM Journal on Scientific Computing, vol.26, issue.2, pp.395-410, 2004.
DOI : 10.1137/S1064827503424505
URL : https://hal.archives-ouvertes.fr/hal-00686211

B. Sudret, Global sensitivity analysis using polynomial chaos expansions, Reliability Engineering & System Safety, vol.93, issue.7, 2008.
DOI : 10.1016/j.ress.2007.04.002
URL : https://hal.archives-ouvertes.fr/hal-01432217

N. Wiener, The Homogeneous Chaos, American Journal of Mathematics, vol.60, issue.4, pp.897-936, 1938.
DOI : 10.2307/2371268