A. Alexanderian, P. Gremaud, and R. Smith, Variance-based sensitivity analysis for time-dependent processes, Reliability Eng. Sys. Safety, 2020.

A. Antoniadis, Analysis of variance on function spaces, Statistics: A Journal of Theoretical and Applied Statistics, vol.15, issue.1, pp.59-71, 1984.

D. L. Applegate, R. E. Bixby, V. Chvatal, and W. J. Cook, The traveling salesman problem: a computational study, 2006.

N. Benoumechiara and K. Elie-dit-cosaque, Shapley effects for sensitivity analysis with dependent inputs: bootstrap and kriging-based algorithms, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01677501

E. Borgonovo, A new uncertainty importance measure. Reliability Engineering & System Safety, vol.92, pp.771-784, 2007.

E. Borgonovo, W. Castaings, and S. Tarantola, Moment independent importance measures: New results and analytical test cases, Risk Analysis, vol.31, issue.3, pp.404-428, 2011.
URL : https://hal.archives-ouvertes.fr/halsde-00683555

S. Chatterjee, A new coefficient of correlation. arXiv e-prints, 2019.

S. D. Veiga, Global sensitivity analysis with dependence measures, J. Stat. Comput. Simul, vol.85, issue.7, pp.1283-1305, 2015.
URL : https://hal.archives-ouvertes.fr/hal-00903283

E. De-rocquigny, N. Devictor, and S. Tarantola, Uncertainty in industrial practice, 2008.

J. Fort, T. Klein, and N. Rachdi, New sensitivity analysis subordinated to a contrast, Communications in Statistics -Theory and Methods, 2015.
URL : https://hal.archives-ouvertes.fr/hal-00821308

R. Fraiman, F. Gamboa, and L. Moreno, Sensitivity indices for output on a Riemannian manifold. arXiv e-prints, 2018.

F. Gamboa, A. Janon, T. Klein, and A. Lagnoux, Sensitivity analysis for multidimensional and functional outputs, Electronic Journal of Statistics, vol.8, pp.575-603, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01980642

F. Gamboa, A. Janon, T. Klein, A. Lagnoux, and C. Prieur, Statistical inference for Sobol pick-freeze Monte Carlo method, Statistics, vol.50, issue.4, pp.881-902, 2016.
URL : https://hal.archives-ouvertes.fr/hal-00804668

F. Gamboa, T. Klein, and A. Lagnoux, Sensitivity analysis based on Cramér von Mises distance, SIAM/ASA Journal on Uncertainty Quantification, vol.6, issue.2, pp.522-548, 2018.

F. Gamboa, T. Klein, A. Lagnoux, and L. Moreno, Sensitivity analysis in general metric spaces, 2019.
URL : https://hal.archives-ouvertes.fr/hal-02044223

G. Gutin and A. P. Punnen, The traveling salesman problem and its variations, vol.12, 2006.

J. Hart, P. Gremaud, and T. David, Global sensitivity analysis of high dimensional neuroscience models: an example of neurovascular coupling, Bull Math Biol, 2019.

W. Hoeffding, A class of statistics with asymptotically normal distribution, Ann. Math. Statistics, vol.19, pp.293-325, 1948.

B. Iooss and C. Prieur, Shapley effects for sensitivity analysis with correlated inputs: comparisons with Sobol'indices, numerical estimation and applications, International Journal for Uncertainty Quantification, vol.9, issue.5, 2019.
URL : https://hal.archives-ouvertes.fr/hal-01556303

A. Janon, T. Klein, A. Lagnoux, M. Nodet, and C. Prieur, Asymptotic normality and efficiency of two Sobol index estimators, ESAIM: Probability and Statistics, vol.18, pp.342-364, 2014.
URL : https://hal.archives-ouvertes.fr/hal-00665048

J. Kirk, Traveling salesman problem -genetic algorithm, 2014.

S. Kucherenko and S. Song, Different numerical estimators for main effect global sensitivity indices, Reliability Engineering & System Safety, vol.165, pp.222-238, 2017.

M. Lamboni, H. Monod, and D. Makowski, Multivariate sensitivity analysis to measure global contribution of input factors in dynamic models, Reliability Engineering & System Safety, vol.96, issue.4, pp.450-459, 2011.
URL : https://hal.archives-ouvertes.fr/hal-00999840

C. Mcdiarmid, On the method of bounded differences, vol.141, pp.148-188, 1989.

A. Owen, Variance components and generalized Sobol' indices

. Siam/asa, Journal on Uncertainty Quantification, vol.1, issue.1, pp.19-41, 2013.

A. Owen, J. Dick, and S. Chen, Higher order Sobol' indices. Information and Inference, vol.3, pp.59-81, 2014.

A. B. Owen, Better estimation of small Sobol'sensitivity indices, ACM Transactions on Modeling and Computer Simulation (TOMACS), vol.23, issue.2, p.11, 2013.

A. B. Owen, Sobol'indices and Shapley value, SIAM/ASA Journal on Uncertainty Quantification, vol.2, issue.1, pp.245-251, 2014.

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

A. Saltelli, K. Chan, and E. Scott, Sensitivity analysis. Wiley Series in Probability and Statistics, 2000.
URL : https://hal.archives-ouvertes.fr/inria-00386559

T. J. Santner, B. Williams, and W. Notz, The Design and Analysis of Computer Experiments, 2003.

L. S. Shapley, A value for n-person games, Contributions to the Theory of Games, vol.2, pp.307-317, 1953.

I. 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.

I. M. Sobol, Sensitivity estimates for nonlinear mathematical models, Math. Modeling Comput. Experiment, vol.1, issue.4, pp.407-414, 1993.

E. Song, B. L. Nelson, and J. Staum, Shapley effects for global sensitivity analysis: Theory and computation, SIAM/ASA Journal on Uncertainty Quantification, vol.4, issue.1, pp.1060-1083, 2016.

B. Sudret, Global sensitivity analysis using polynomial chaos expansions, Reliability Engineering & System Safety, vol.93, issue.7, pp.964-979, 2008.
URL : https://hal.archives-ouvertes.fr/hal-01432217

A. W. Van-der and . Vaart, of Cambridge Series in Statistical and Probabilistic Mathematics, vol.3, 1998.