R. Sandboge, Fluid?structure interaction with OpenFSITM and MD NastranTM structural solver, Ann. Arbor, vol.1001, 2010.

D. C. Montgomery, E. A. Peck, and G. G. Vining, Introduction to linear regression analysis, 2015.

M. Drela, XFOIL: An Analysis and Design System for Low Reynolds Number Airfoils, Low Reynolds number aerodynamics, pp.1-12, 1989.
DOI : 10.1007/978-3-642-84010-4_1

L. Cambier and J. Veuillot, Status of the elsA CFD software for flow simulation and multidisciplinary applications, AIAA paper, vol.664, 2008.

R. A. Sadek, SVD based image processing applications: state of the art, contributions and research challenges, 2012.

M. Friswell and J. E. Mottershead, Finite element model updating in structural dynamics, 1995.
DOI : 10.1007/978-94-015-8508-8

P. J. Schmid, Dynamic mode decomposition of numerical and experimental data, Journal of Fluid Mechanics, vol.45, pp.5-28, 2010.
DOI : 10.1175/1520-0442(1995)008<0377:POPAR>2.0.CO;2

URL : https://hal.archives-ouvertes.fr/hal-01020654

C. E. Rasmussen and C. K. Williams, Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning), 2005.

C. E. Rasmussen and Z. Ghahramani, Infinite mixtures of Gaussian process experts Advances in neural information processing systems, pp.881-888, 2002.

T. Chen and J. Ren, Bagging for Gaussian process regression, Neurocomputing, vol.72, issue.7-9, pp.1605-1610, 2009.
DOI : 10.1016/j.neucom.2008.09.002

M. P. Deisenroth and J. W. Ng, Distributed Gaussian Processes, 2015.

Y. Cao and D. J. Fleet, Generalized Product of Experts for Automatic and Principled Fusion of Gaussian Process Predictions, 1410.

I. Mathworks, MATLAB: the language of technical computing. Desktop tools and development environment, 2005.

J. C. Vassberg, M. A. Dehaan, S. M. Rivers, and R. A. Wahls, Development of a Common Research Model for Applied CFD Validation Studies, 26th AIAA Applied Aerodynamics Conference, 2008.
DOI : 10.2514/6.2008-6919