The density of a passage time for a renewal-reward process perturbed by a diffusion. - Christophette Blanchet-Scalliet; Diana Dorobantu; Didier Rullière (Appl. Math. Lett., 2013)

On the estimation of Pareto fronts from the point of view of copula theory. - Mickaël Binois; Didier Rullière; Olivier Roustant (Inf. Sci., 2015)

Kriging of financial term-structures. - Areski Cousin; Hassan Maatouk; Didier Rullière (Eur. J. Oper. Res., 2016)

On tail dependence coefficients of transformed multivariate Archimedean copulas. - Elena Di Bernardino; Didier Rullière (Fuzzy Sets Syst., 2016)

Quantile predictions for elliptical random fields. - Véronique Maume-Deschamps; Didier Rullière; Antoine Usseglio-Carleve (J. Multivar. Anal., 2017)

Nested Kriging predictions for datasets with a large number of observations. - Didier Rullière; Nicolas Durrande; François Bachoc; Clément Chevalier (Stat. Comput., 2018)

Dependence structure estimation using Copula Recursive Trees. - Oskar Laverny; Esterina Masiello; Véronique Maume-Deschamps; Didier Rullière (J. Multivar. Anal., 2021)

FunQuant: A R package to perform quantization in the context of rare events and time-consuming simulations. - Charlie Sire; Yann Richet; Rodolphe Le Riche; Didier Rullière; Jérémy Rohmer 001; Lucie Pheulpin (CoRR, 2023)

Quantizing Rare Random Maps: Application to Flooding Visualization. - Charlie Sire; Rodolphe Le Riche; Didier Rullière; Jérémy Rohmer 001; Lucie Pheulpin; Yann Richet (J. Comput. Graph. Stat., 2023)

Sampling large hyperplane-truncated multivariate normal distributions. - Hassan Maatouk; Didier Rullière; Xavier Bay (Comput. Stat., 2024)

Combination of optimization-free kriging models for high-dimensional problems. - Tanguy Appriou; Didier Rullière; David Gaudrie (Comput. Stat., 2024)

Assessing clustering methods using Shannon's entropy. - Anis Hoayek; Didier Rullière (Inf. Sci., 2025)

Large-scale constrained Gaussian processes for shape-restricted function estimation. - Hassan Maatouk; Didier Rullière; Xavier Bay (Stat. Comput., 2025)