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Binois, M.; Ginsbourger, David; Roustant, O. (2015). Quantifying uncertainty on Pareto fronts with Gaussian process conditional simulations. European journal of operational research, 243(2), pp. 386-394. Elsevier 10.1016/j.ejor.2014.07.032
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
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