[. Borgonovo, G. B. Hazen, and E. Plischke, A Common Rationale for Global Sensitivity Measures and Their Estimation . Risk Analysis: An Official Publication of the Society for Risk Analysis, pp.1871-1895, 2016.
DOI : 10.1111/risa.12555

[. Colini-baldeschi, M. Scarsini, and S. Vaccari, Variance Allocation and Shapley Value, Methodology and Computing in Applied Probability, vol.35, issue.2, pp.1-15, 2016.
DOI : 10.1016/S0167-6687(03)00137-9

URL : http://arxiv.org/pdf/1606.09424

G. Chastaing, Indices de Sobol gnraliss pour variables dpendantes . phdthesis, 2013.
DOI : 10.1080/00949655.2014.960415

[. Csardi and T. Nepusz, The igraph software package for complex network research, p.1695, 2006.

S. Shaheen, M. Fatima, N. R. Wooldridge, and . Jennings, A linear approximation method for the Shapley value, Artificial Intelligence, vol.172, issue.14, pp.1673-1699, 2008.

[. Hubert and S. Ikonnikova, Strategic investment and bargaining power in supply chains: A Shapley value analysis of the Eurasian gas market, 2003.

H. Hammer and H. Tjelmeland, Approximate forward???backward algorithm for a switching linear Gaussian model, Computational Statistics & Data Analysis, vol.55, issue.1, pp.154-167, 2011.
DOI : 10.1016/j.csda.2010.06.008

B. Iooss and C. Prieur, Shapley effects for sensitivity analysis with dependent inputs: comparisons with Sobol' indices, numerical estimation and applications, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01556303

. Khf-+-06-]-t, K. M. Kawano, S. Hanson, P. Frankle, M. B. Talou et al., Evaluation and Propagation of the 239 $Pu Fission Cross-Section Uncertainties Using a Monte Carlo Technique, Nuclear Science and Engineering, vol.153, issue.1, pp.1-7, 2006.

A. Thierry, S. Mara, P. Tarantola, and . Annoni, Nonparametric methods for global sensitivity analysis of model output with dependent inputs, Environmental Modelling & Software, vol.72, pp.173-183, 2015.

S. Moretti, D. Van-leeuwen, H. Gmuender, S. Bonassi, J. Van-delft et al., Combining Shapley value and statistics to the analysis of gene expression data in children exposed to air pollution, BMC Bioinformatics, vol.9, issue.1, p.361, 2008.
DOI : 10.1186/1471-2105-9-361

A. B. Owen and C. Prieur, On Shapley Value for Measuring Importance of Dependent Inputs, SIAM/ASA Journal on Uncertainty Quantification, vol.5, issue.1, pp.986-1002, 2017.
DOI : 10.1137/16M1097717

URL : https://hal.archives-ouvertes.fr/hal-01379188

]. A. Owe14 and . Owen, Sobol' Indices and Shapley Value, SIAM/ASA Journal on Uncertainty Quantification, vol.2, issue.1, pp.245-251, 2014.

A. Rosti, Linear Gaussian models for speech recognition, 2004.

]. L. Sha53, ]. E. Shapleysns16, B. Song, J. Nelson, and . Staum, A value for n-person games. Contribution to the Theory of Games Shapley Effects for Global Sensitivity Analysis: Theory and Computation, Annals of Mathematics Studies SIAM/ASA Journal on Uncertainty Quantification, vol.2, issue.41, pp.281060-1083, 1953.

. Sob93, M. Ilya, and . Sobol, Sensitivity estimates for nonlinear mathematical models, Mathematical Modelling and Computational Experiments, vol.1, issue.4, pp.407-414, 1993.