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Friedli, L.; Linde, N.; Ginsbourger, D.; Doucet, A. (2022). Lithological tomography with the correlated pseudo-marginal method. Geophysical journal international, 228(2), pp. 839-856. Oxford University Press 10.1093/gji/ggab381
Bect, J.; Ginsbourger, D.; Li, L.; Picheny, V.; Vazquez, E. (2012). Sequential design of computer experiments for the estimation of a probability of failure. Statistics and computing, 22(3), pp. 773-793. New York, N.Y.: Springer 10.1007/s11222-011-9241-4
Durrande, N.; Ginsbourger, D.; Roustant, O. (2012). Additive Covariance Kernels for High-Dimensional Gaussian Process Modeling. Annales de la Faculté des Sciences de Toulouse - mathématiques, 21(3), pp. 481-499. Toulouse (F): Université Paul Sabatier
Mahlstein, I.; Martius, Olivia; Chevalier, C.; Ginsbourger, D. (2012). Changes in the odds of extreme events in the Atlantic basin depending on the position of the extratropical jet. Geophysical Research Letters, 39(22), L22805. Washington, D.C.: American Geophysical Union 10.1029/2012GL053993
Roustant, O.; Ginsbourger, D.; Deville, Y. (2012). DiceKriging, DiceOptim: Two R Packages for the Analysis of Computer Experiments by Kriging-Based Metamodeling and Optimization. Journal of statistical software, 51(1), pp. 1-55. Los Angeles, Calif.: UCLA Statistics
