Ich stimme zu, dass diese Seite Cookies verwende. Weitere Informationen finden Sie unter unseren Datenschutzerklärungen .
X
Roustant, Olivier
256  Ergebnisse:
Personensuche X
?
1

Spectral decomposition of H1(μ) and Poincaré inequality on ..:

Roustant, Olivier ; Lüthen, Nora ; Gamboa, Fabrice
Journal of Approximation Theory.  301 (2024)  - p. 106041 , 2024
Link: https://doi.org/10.1016/..
 
?
2

A scalable problem to benchmark robust multidisciplinary de..:

Aziz-Alaoui, Amine ; Roustant, Olivier ; De Lozzo, Matthias
Optimization and Engineering.  25 (2023)  2 - p. 941-958 , 2023
Link: https://doi.org/10.1007/..
 
?
3

Covariance models and Gaussian process regression for the w..:

Henderson, Iain ; Noble, Pascal ; Roustant, Olivier
Journal of Computational Physics.  494 (2023)  - p. 112519 , 2023
Link: https://doi.org/10.1016/..
 
?
4

Linking the Hoeffding–Sobol and Möbius formulas through a d..:

Mercadier, Cécile ; Roustant, Olivier ; Genest, Christian
Statistics & Probability Letters.  185 (2022)  - p. 109419 , 2022
Link: https://doi.org/10.1016/..
 
?
5

Sequential Construction and Dimension Reduction of Gaussian..:

Bachoc, François ; López-Lopera, Andrés F. ; Roustant, Olivier
SIAM Journal on Mathematics of Data Science.  4 (2022)  2 - p. 772-800 , 2022
Link: https://doi.org/10.1137/..
 
?
6

Revealing the interlevel dependence structure of categorica..:

Rohmer, Jeremy ; Roustant, Olivier ; Lecacheux, Sophie.
Environmental Modelling & Software.  151 (2022)  - p. 105380 , 2022
Link: https://doi.org/10.1016/..
 
?
7

A comparison of mixed-variables Bayesian optimization appro..:

Cuesta Ramirez, Jhouben ; Le Riche, Rodolphe ; Roustant, Olivier...
Advanced Modeling and Simulation in Engineering Sciences.  9 (2022)  1 - p. , 2022
Link: https://doi.org/10.1186/..
 
?
8

Group Kernels for Gaussian Process Metamodels with Categori..:

Roustant, Olivier ; Padonou, Espéran ; Deville, Yves...
SIAM/ASA Journal on Uncertainty Quantification.  8 (2020)  2 - p. 775-806 , 2020
Link: https://doi.org/10.1137/..
 
?
9

Approximating Gaussian Process Emulators with Linear Inequa..:

, In: Springer Proceedings in Mathematics & Statistics; Monte Carlo and Quasi-Monte Carlo Methods,
López-Lopera, Andrés F. ; Bachoc, François ; Durrande, Nicolas... - p. 363-381 , 2020
Link: https://doi.org/10.1007/..
 
?
10

Gaussian Process-Based Dimension Reduction for Goal-Oriente..:

Salem, Malek Ben ; Bachoc, François ; Roustant, Olivier..
SIAM/ASA Journal on Uncertainty Quantification.  7 (2019)  4 - p. 1369-1397 , 2019
Link: https://doi.org/10.1137/..
 
?
11

The tail dependograph:

Mercadier, Cécile ; Roustant, Olivier
Extremes.  22 (2019)  2 - p. 343-372 , 2019
Link: https://doi.org/10.1007/..
 
?
12

On the choice of the low-dimensional domain for global opti..:

Binois, Mickaël ; Ginsbourger, David ; Roustant, Olivier
Journal of Global Optimization.  76 (2019)  1 - p. 69-90 , 2019
Link: https://doi.org/10.1007/..
 
?
13

Finite-Dimensional Gaussian Approximation with Linear Inequ..:

López-Lopera, Andrés F. ; Bachoc, François ; Durrande, Nicolas.
SIAM/ASA Journal on Uncertainty Quantification.  6 (2018)  3 - p. 1224-1255 , 2018
Link: https://doi.org/10.1137/..
 
?
14

Universal Prediction Distribution for Surrogate Models:

Ben Salem, Malek ; Roustant, Olivier ; Gamboa, Fabrice.
SIAM/ASA Journal on Uncertainty Quantification.  5 (2017)  1 - p. 1086-1109 , 2017
Link: https://doi.org/10.1137/..
 
?
15

Computer experiments with functional inputs and scalar outp..:

Muehlenstaedt, Thomas ; Fruth, Jana ; Roustant, Olivier
Statistics and Computing.  27 (2016)  4 - p. 1083-1097 , 2016
Link: https://doi.org/10.1007/..
 
1-15