activity
20082023
most citedNumerical studies of the metamodel fitting and validation processes

59 citations · 126 across the 15 of their papers we have counts for

collaborators

15 papers

stat.CO2023★ 1 cited

A Gaussian process and linear-based framework for computing cut distributions in modular Bayesian calibration of two chained computer models

Oumar Baldé, Guillaume Damblin, Amandine Marrel +2

Computer models are widely used in science and engineering to simulate complex systems. However, these models are affected by several sources of uncertainty, which may limit their…

stat.ME2023

A comparison between Bayesian and ordinary kriging based on validation criteria: application to radiological characterisation

Martin Wieskotten, Marielle Crozet, Bertrand Iooss +2

In decommissioning projects of nuclear facilities, the radiological characterisation step aims to estimate the quantity and spatial distribution of different radionuclides. To carr…

stat.ME2022

Second-level global sensitivity analysis of numerical simulators with application to an accident scenario in a sodium-cooled fast reactor

Anouar Meynaoui, Amandine Marrel, Béatrice Laurent

Numerical simulators are widely used to model physical phenomena and global sensitivity analysis (GSA) aims at studying the global impact of the input uncertainties on the simulato…

cs.CE2020★ 2 cited

The ICSCREAM methodology: Identification of penalizing configurations in computer experiments using screening and metamodel -- Applications in thermal-hydraulics

A. Marrel, Bertrand Iooss, V Chabridon

In the framework of risk assessment in nuclear accident analysis, best-estimatecomputer codes, associated to a probabilistic modeling of the uncertain input variables,are used to e…

math.ST2019★ 13 cited

New statistical methodology for second level global sensitivity analysis

Anouar Meynaoui, Amandine Marrel, Béatrice Laurent

Global sensitivity analysis (GSA) of numerical simulators aims at studying the global impact of the input uncertainties on the output. To perform the GSA, statistical tools based o…

math.ST2019

Adaptive test of independence based on HSIC measures

Mélisande Albert, Béatrice Laurent, Amandine Marrel +1

Dependence measures based on reproducing kernel Hilbert spaces, also known as Hilbert-Schmidt Independence Criterion and denoted HSIC, are widely used to statistically decide wheth…