J. Bowler, Eddy???current probe impedance due to a volumetric flaw, Journal of Applied Physics, vol.70, issue.3, pp.1107-1121, 1991.
DOI : 10.1063/1.349615

J. Bowler, Eddy???current interaction with an ideal crack. I. The forward problem, Journal of Applied Physics, vol.75, issue.12, pp.8128-8165, 1994.
DOI : 10.1063/1.356511

J. Pavo and D. Lesselier, Calculation of eddy current testing probe signal with global approximation, IEEE Transactions on Magnetics, vol.42, issue.4, pp.1419-1441, 2006.
DOI : 10.1109/TMAG.2006.872490
URL : https://hal.archives-ouvertes.fr/hal-00637349

W. Hastings, Monte Carlo sampling methods using Markov chains and their applications, Biometrika, vol.57, issue.1, pp.97-109, 1970.
DOI : 10.1093/biomet/57.1.97

L. Tierney, Markov Chains for Exploring Posterior Distributions, The Annals of Statistics, vol.22, issue.4, pp.1701-1729, 1994.
DOI : 10.1214/aos/1176325750

M. Lombardi, Bayesian inference for -stable distributions: A random walk MCMC approach, Computational Statistics & Data Analysis, vol.51, issue.5, pp.2688-700, 2007.
DOI : 10.1016/j.csda.2006.01.009

L. Pronzato, Optimal experimental design and some related control problems, Automatica, vol.44, issue.2, pp.303-328, 2008.
DOI : 10.1016/j.automatica.2007.05.016
URL : https://hal.archives-ouvertes.fr/hal-00259532

R. Douvenot, M. Lambert, and D. Lesselier, Adaptive Metamodels for Crack Characterization in Eddy-Current Testing, IEEE Transactions on Magnetics, vol.47, issue.4, pp.746-55, 2011.
DOI : 10.1109/TMAG.2011.2105883
URL : https://hal.archives-ouvertes.fr/hal-00583923

S. Bilicz, M. Lambert, and S. Gyimthy, Kriging-based generation of optimal databases as forward and inverse surrogate models, Inverse Problems, vol.26, issue.7, pp.74012-74039, 2010.
DOI : 10.1088/0266-5611/26/7/074012
URL : https://hal.archives-ouvertes.fr/hal-00493205

J. Rosa, G. Fleury, S. Osuna, and M. Davoust, Markov Chain Monte Carlo Posterior Density Approximation for a Groove-Dimensioning Purpose, IEEE Transactions on Instrumentation and Measurement, vol.55, issue.1, pp.112-134, 2006.
DOI : 10.1109/TIM.2005.861495
URL : https://hal.archives-ouvertes.fr/hal-00260575

T. Khan and P. Ramuhalli, A Recursive Bayesian Estimation Method for Solving Electromagnetic Nondestructive Evaluation Inverse Problems, IEEE Transactions on Magnetics, vol.44, issue.7, pp.1845-55, 2008.
DOI : 10.1109/TMAG.2008.921842

N. Metropolis, M. Rosenbluth, A. Rosenbluth, E. Teller, and . Teller, Equation of State Calculations by Fast Computing Machines, The Journal of Chemical Physics, vol.21, issue.6, pp.1087-92, 1953.
DOI : 10.1063/1.1699114

H. Haario, E. Saksman, and J. Tamminen, Adaptive proposal distribution for random walk Metropolis algorithm, Computational Statistics, vol.14, issue.3, pp.375-96, 1999.
DOI : 10.1007/s001800050022

R. Miorelli, C. Reboud, T. Theodoulidis, N. Poulakis, and D. Lesselier, Efficient Modeling of ECT Signals for Realistic Cracks in Layered Half-Space, IEEE Transactions on Magnetics, vol.49, issue.6, pp.2886-92, 2013.
DOI : 10.1109/TMAG.2012.2236102
URL : https://hal.archives-ouvertes.fr/hal-00767065