A Radar-Shaped Statistic for Testing and Visualizing Uniformity Properties in Computer Experiments - Jessica Franco; Laurent Carraro; Olivier Roustant; Astrid Jourdan (CoRR, 2008)

Calculations of Sobol indices for the Gaussian process metamodel. - Amandine Marrel; Bertrand Iooss; Béatrice Laurent; Olivier Roustant (Reliab. Eng. Syst. Saf., 2009)

Information Technologies capacity planning in manufacturing systems: Proposition for a modelling process and application in the semiconductor industry. - Michel Lutz; Xavier Boucher; Olivier Roustant (Comput. Ind., 2012)

Couplage entre système de production industriel et technologies de l'information. Modélisation et création de connaissance. - Michel Lutz; Xavier Boucher; Olivier Roustant; M. Girard (Ingénierie des Systèmes d Inf., 2012)

Data-driven Kriging models based on FANOVA-decomposition. - Thomas Mühlenstädt; Olivier Roustant; Laurent Carraro; Sonja Kuhnt (Stat. Comput., 2012)

Methods and applications for IT capacity decisions: Bringing management frameworks into practice. - Michel Lutz; Xavier Boucher; Olivier Roustant (J. Decis. Syst., 2013)

ANOVA kernels and RKHS of zero mean functions for model-based sensitivity analysis. - Nicolas Durrande; David Ginsbourger; Olivier Roustant; Laurent Carraro (J. Multivar. Anal., 2013)

On ANOVA Decompositions of Kernels and Gaussian Random Field Paths. - David Ginsbourger; Olivier Roustant; Dominic Schuhmacher; Nicolas Durrande; Nicolas Lenz (MCQMC, 2014)

Crossed-derivative based sensitivity measures for interaction screening. - Olivier Roustant; Jana Fruth; Bertrand Iooss; Sonja Kuhnt (Math. Comput. Simul., 2014)

A Warped Kernel Improving Robustness in Bayesian Optimization Via Random Embeddings. - Mickaël Binois; David Ginsbourger; Olivier Roustant (LION, 2015)

Quantifying uncertainty on Pareto fronts with Gaussian process conditional simulations. - Mickaël Binois; David Ginsbourger; Olivier Roustant (Eur. J. Oper. Res., 2015)

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

Robust Monitoring of an Industrial IT System in the Presence of Structural Change. - Esperan Padonou; Olivier Roustant; Michel Lutz (Qual. Reliab. Eng. Int., 2015)

Sequential designs for sensitivity analysis of functional inputs in computer experiments. - Jana Fruth; Olivier Roustant; Sonja Kuhnt (Reliab. Eng. Syst. Saf., 2015)

Polar Gaussian Processes and Experimental Designs in Circular Domains. - Esperan Padonou; Olivier Roustant (SIAM/ASA J. Uncertain. Quantification, 2016)

Universal Prediction Distribution for Surrogate Models. - Malek Ben Salem 002; Olivier Roustant; Fabrice Gamboa; Lionel Tomaso (SIAM/ASA J. Uncertain. Quantification, 2017)

Computer experiments with functional inputs and scalar outputs by a norm-based approach. - Thomas Mühlenstädt; Jana Fruth; Olivier Roustant (Stat. Comput., 2017)

Finite-Dimensional Gaussian Approximation with Linear Inequality Constraints. - Andrés F. López-Lopera; François Bachoc; Nicolas Durrande; Olivier Roustant (SIAM/ASA J. Uncertain. Quantification, 2018)

Approximating Gaussian Process Emulators with Linear Inequality Constraints and Noisy Observations via MC and MCMC. - Andrés F. López-Lopera; François Bachoc; Nicolas Durrande; Olivier Roustant (CoRR, 2019)

Gaussian Process-Based Dimension Reduction for Goal-Oriented Sequential Design. - Malek Ben Salem 002; François Bachoc; Olivier Roustant; Fabrice Gamboa; Lionel Tomaso (SIAM/ASA J. Uncertain. Quantification, 2019)

Support indices: Measuring the effect of input variables over their supports. - Jana Fruth; Olivier Roustant; Sonja Kuhnt (Reliab. Eng. Syst. Saf., 2019)

On the choice of the low-dimensional domain for global optimization via random embeddings. - Mickaël Binois; David Ginsbourger; Olivier Roustant (J. Glob. Optim., 2020)

Group Kernels for Gaussian Process Metamodels with Categorical Inputs. - Olivier Roustant; Esperan Padonou; Yves Deville; Aloïs Clément; Guillaume Perrin; Jean Giorla; Henry P. Wynn (SIAM/ASA J. Uncertain. Quantification, 2020)

Global sensitivity analysis using derivative-based sparse Poincaré chaos expansions. - Nora Lüthen; Olivier Roustant; Fabrice Gamboa; Bertrand Iooss; Stefano Marelli; Bruno Sudret (CoRR, 2021)

Functional principal component analysis for global sensitivity analysis of model with spatial output. - T. V. Elodie Perrin; Olivier Roustant; Jérémy Rohmer 001; Olivier Alata; J. P. Naulin; Déborah Idier; Rodrigo Pedreros; D. Moncoulon; P. Tinard (Reliab. Eng. Syst. Saf., 2021)

High-dimensional Additive Gaussian Processes under Monotonicity Constraints. - Andrés F. López-Lopera; François Bachoc; Olivier Roustant (NeurIPS, 2022)

A comparison of mixed-variables Bayesian optimization approaches. - Jhouben Cuesta-Ramirez; Rodolphe Le Riche; Olivier Roustant; Guillaume Perrin; Cédric Durantin; Alain Glière (Adv. Model. Simul. Eng. Sci., 2022)

Revealing the interlevel dependence structure of categorical inputs in numerical environmental simulations with kernel model selection. - Jérémy Rohmer 001; Olivier Roustant; Sophie Lecacheux; Jean-Charles Manceau (Environ. Model. Softw., 2022)

Sequential Construction and Dimension Reduction of Gaussian Processes Under Inequality Constraints. - François Bachoc; Andrés F. López-Lopera; Olivier Roustant (SIAM J. Math. Data Sci., 2022)

Covariance models and Gaussian process regression for the wave equation. Application to related inverse problems. - Iain Henderson; Pascal Noble; Olivier Roustant (J. Comput. Phys., 2023)

Spectral decomposition of H1(μ) and Poincaré inequality on a compact interval - Application to kernel quadrature. - Olivier Roustant; Nora Lüthen; Fabrice Gamboa (J. Approx. Theory, 2024)

Fast pick-freeze estimation of Sobol' sensitivity maps using basis expansions. - Yuri Taglieri Sáo; Olivier Roustant; Geraldo de Freitas Maciel (Reliab. Eng. Syst. Saf., 2026)