G. E. Archer, A. Saltelli, and I. M. Sobol, Sensitivity measures,anova-like Techniques and the use of bootstrap, Journal of Statistical Computation and Simulation, vol.2, issue.2, pp.99-120, 1997.
DOI : 10.1142/S0129183195000204

G. Bellas-chatzigeorgis, N. Villedieu, M. Panesi, P. M. Congedo, and T. Magin, Propagation of uncertainties related to a complex detailed chemical mechanism, UQ4AERO: Uncertainty Quantification for Aerospace Applications, pp.1-90, 2013.

E. Borgonovo, A new uncertainty importance measure, Reliability Engineering & System Safety, vol.92, issue.6, pp.771-784, 2007.
DOI : 10.1016/j.ress.2006.04.015

Z. Gao and J. S. Hesthaven, On ANOVA expansions and strategies for choosing the anchor point, Applied Mathematics and Computation, vol.217, issue.7, pp.3274-3285, 2010.
DOI : 10.1016/j.amc.2010.08.061

G. Li, H. Rabitz, P. E. Yelvington, O. O. Oluwole, F. Bacon et al., Global Sensitivity Analysis for Systems with Independent and/or Correlated Inputs, The Journal of Physical Chemistry A, vol.114, issue.19, pp.1146022-1146054, 2010.
DOI : 10.1021/jp9096919

X. Ma and N. Zabaras, An adaptive high-dimensional stochastic model representation technique for the solution of stochastic partial differential equations, Journal of Computational Physics, vol.229, issue.10, pp.3884-3915, 2010.
DOI : 10.1016/j.jcp.2010.01.033

I. M. Sobol, Theorems and examples on high dimensional model representation, Reliability Engineering & System Safety, vol.79, issue.2, pp.187-193, 2003.
DOI : 10.1016/S0951-8320(02)00229-6

K. Tang, M. Pietro, R. Congedo, and . Abgrall, Sensitivity analysis using anchored ANOVA expansion and high-order moments computation, International Journal for Numerical Methods in Engineering, vol.92, issue.6, 2014.
DOI : 10.1002/nme.4856

URL : https://hal.archives-ouvertes.fr/hal-01086259

H. Xu and S. Rahman, A generalized dimension-reduction method for multidimensional integration in stochastic mechanics, International Journal for Numerical Methods in Engineering, vol.23, issue.12, pp.1992-2019, 2004.
DOI : 10.1002/nme.1135

X. Yang, M. Choi, G. Lin, and G. E. Karniadakis, Adaptive ANOVA decomposition of stochastic incompressible and compressible flows, Journal of Computational Physics, vol.231, issue.4, pp.1587-1614, 2012.
DOI : 10.1016/j.jcp.2011.10.028

Z. Zhang, M. Choi, and G. E. Karniadakis, Anchor Points Matter in ANOVA Decomposition, Lecture Notes in Computational Science and Engineering, vol.76, pp.347-355, 2011.
DOI : 10.1007/978-3-642-15337-2_32

Z. Zhang, M. Choi, and G. E. Karniadakis, Error Estimates for the ANOVA Method with Polynomial Chaos Interpolation: Tensor Product Functions, SIAM Journal on Scientific Computing, vol.34, issue.2, pp.1165-1186, 2012.
DOI : 10.1137/100788859