A. Antoniadis and C. Lavergne, Variance Function Estimation in Regression by Wavelet Methods, Wavelets and statistics, 1995.
DOI : 10.1007/978-1-4612-2544-7_3

URL : https://hal.archives-ouvertes.fr/hal-00196101

S. Da-veiga, F. Wahl, and F. Gamboa, Local polynomial estimation for sensitivity analysis for models with correlated inputs. Technometrics, submitted Available at URL: http, 2008.
URL : https://hal.archives-ouvertes.fr/hal-00266102

K. Fang, R. Li, and A. Sudjianto, Design and modeling for computer experiments, 2006.
DOI : 10.1201/9781420034899

P. Garcia, C. Struzik, M. Agard, and V. Louche, Mono-dimensional mechanical modelling of fuel rods under normal and off-normal operating conditions, Nuclear Engineering and Design, vol.216, issue.1-3, pp.183-201, 2002.
DOI : 10.1016/S0029-5493(02)00059-6

J. E. Gentle, Random number generation and Monte Carlo methods, 2003.
DOI : 10.1007/978-1-4757-2960-3

T. Hastie and R. Tibshirani, Generalized additive models, 1990.

J. C. Helton, J. D. Johnson, C. J. Salaberry, and C. B. Storlie, Survey of sampling-based methods for uncertainty and sensitivity analysis, Reliability Engineering & System Safety, vol.91, issue.10-11, pp.1175-1209, 2006.
DOI : 10.1016/j.ress.2005.11.017

T. Homma and A. Saltelli, Importance measures in global sensitivity analysis of nonlinear models, Reliability Engineering & System Safety, vol.52, issue.1, pp.1-17, 1996.
DOI : 10.1016/0951-8320(96)00002-6

B. Iooss, M. Ribatet, and A. Marrel, Global sensitivity analysis of stochastic computer models with generalized additive models. Technometrics, submitted Available at URL: http, 2008.

B. Iooss, F. Van-dorpe, and N. Devictor, Response surfaces and sensitivity analyses for an environmental model of dose calculations, Reliability Engineering & System Safety, vol.91, issue.10-11, pp.1241-1251, 2006.
DOI : 10.1016/j.ress.2005.11.021

J. Jacques, C. Lavergne, and N. Devictor, Sensitivity analysis in presence of model uncertainty and correlated inputs, Reliability Engineering & System Safety, vol.91, issue.10-11, pp.1126-1134, 2006.
DOI : 10.1016/j.ress.2005.11.047

URL : https://hal.archives-ouvertes.fr/hal-00194061

M. Marqù-es, J. F. Pignatel, P. Saignes, F. D-'auria, L. Burgazzi et al., Methodology for the reliability evaluation of a passive system and its integration into a Probabilistic Safety Assessment, Nuclear Engineering and Design, vol.235, issue.24, pp.2612-2631, 2005.
DOI : 10.1016/j.nucengdes.2005.06.008

M. Marseguerra, R. Masini, E. Zio, and G. Cojazzi, Variance decomposition-based sensitivity analysis via neural networks, Reliability Engineering & System Safety, vol.79, issue.2, pp.229-238, 2003.
DOI : 10.1016/S0951-8320(02)00234-X

URL : http://publications.jrc.ec.europa.eu/repository/handle/JRC23203

P. Mccullagh and J. A. Nelder, Generalized linear models, 1989.

J. A. Nelder and D. Pregibon, An extended quasi-likelihood function, Biometrika, vol.74, issue.2, pp.221-232, 1987.
DOI : 10.1093/biomet/74.2.221

J. A. Nelder and R. W. Wedderburn, Generalized Linear Models, Journal of the Royal Statistical Society. Series A (General), vol.135, issue.3, pp.370-384, 1972.
DOI : 10.2307/2344614

P. Ruffo, L. Bazzana, A. Consonni, A. Corradi, A. Saltelli et al., Hydrocarbon exploration risk evaluation through uncertainty and sensitivity analyses techniques, Reliability Engineering & System Safety, vol.91, issue.10-11, pp.1155-1162, 2006.
DOI : 10.1016/j.ress.2005.11.056

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

A. Saltelli, Making best use of model evaluations to compute sensitivity indices, Computer Physics Communications, vol.145, issue.2, pp.280-297, 2002.
DOI : 10.1016/S0010-4655(02)00280-1

A. Saltelli, M. Ratto, T. Andres, F. Campolongo, J. Cariboni et al., Global sensitivity analysis -The primer, 2008.
DOI : 10.1002/9780470725184

A. Saltelli, S. Tarantola, and K. Chan, A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output, Technometrics, vol.60, issue.1, pp.39-56, 1999.
DOI : 10.1007/BF01166355

I. M. Sobol, Sensitivity estimates for non linear mathematical models, Mathematical Modelling and Computational Experiments, vol.1, pp.407-414, 1993.

I. M. Sobol, Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates, Mathematics and Computers in Simulation, vol.55, issue.1-3, pp.271-280, 2001.
DOI : 10.1016/S0378-4754(00)00270-6

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

S. Tarantola, N. Giglioli, N. Jesinghaus, and A. Saltelli, Can global sensitivity analysis steer the implementation of models for environmental assesments and decisionmaking? Stochastic Environmental Research and Risk Assesment, pp.63-76, 2002.

E. Volkova, B. Iooss, and F. Van-dorpe, Global sensitivity analysis for a numerical model of radionuclide migration from the RRC ???Kurchatov Institute??? radwaste disposal site, Stochastic Environmental Research and Risk Assessment, vol.16, issue.1, pp.17-31, 2008.
DOI : 10.1007/s00477-006-0093-y

S. Wood, Generalized Additive Models: An Introduction with R, CRC Chapman & Hall, 2006.

I. Zabalza-mezghani, E. Manceau, M. Feraille, and A. Jourdan, Uncertainty management: From geological scenarios to production scheme optimization, Journal of Petroleum Science and Engineering, vol.44, issue.1-2, pp.11-25, 2004.
DOI : 10.1016/j.petrol.2004.02.002