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A review on global sensitivity analysis methods

A review on global sensitivity analysis methods

9 April 2014
Bertrand Iooss
Paul Lemaître
ArXivPDFHTML

Papers citing "A review on global sensitivity analysis methods"

27 / 27 papers shown
Title
Coherent Local Explanations for Mathematical Optimization
Coherent Local Explanations for Mathematical Optimization
Daan Otto
Jannis Kurtz
S. Ilker Birbil
58
0
0
07 Feb 2025
Data Type Agnostic Visual Sensitivity Analysis
Data Type Agnostic Visual Sensitivity Analysis
Nikolaus Piccolotto
M. Bögl
C. Muehlmann
K. Nordhausen
Peter Filzmoser
Johanna Schmidt
Silvia Miksch
29
0
0
07 Sep 2023
Second-level global sensitivity analysis of numerical simulators with
  application to an accident scenario in a sodium-cooled fast reactor
Second-level global sensitivity analysis of numerical simulators with application to an accident scenario in a sodium-cooled fast reactor
Anouar Meynaoui
A. Marrel
Béatrice Laurent
24
4
0
21 Dec 2022
CRAFT: Concept Recursive Activation FacTorization for Explainability
CRAFT: Concept Recursive Activation FacTorization for Explainability
Thomas Fel
Agustin Picard
Louis Bethune
Thibaut Boissin
David Vigouroux
Julien Colin
Rémi Cadène
Thomas Serre
19
102
0
17 Nov 2022
Quantile-constrained Wasserstein projections for robust interpretability
  of numerical and machine learning models
Quantile-constrained Wasserstein projections for robust interpretability of numerical and machine learning models
Marouane Il Idrissi
Nicolas Bousquet
Fabrice Gamboa
Bertrand Iooss
Jean-Michel Loubes
35
2
0
23 Sep 2022
Extreme learning machines for variance-based global sensitivity analysis
Extreme learning machines for variance-based global sensitivity analysis
John E. Darges
A. Alexanderian
P. Gremaud
24
2
0
14 Jan 2022
Global sensitivity analysis using derivative-based sparse Poincaré
  chaos expansions
Global sensitivity analysis using derivative-based sparse Poincaré chaos expansions
Nora Lüthen
O. Roustant
Fabrice Gamboa
Bertrand Iooss
S. Marelli
Bruno Sudret
21
5
0
01 Jul 2021
MDA for random forests: inconsistency, and a practical solution via the
  Sobol-MDA
MDA for random forests: inconsistency, and a practical solution via the Sobol-MDA
Clément Bénard
Sébastien Da Veiga
Erwan Scornet
45
49
0
26 Feb 2021
Developments and applications of Shapley effects to reliability-oriented
  sensitivity analysis with correlated inputs
Developments and applications of Shapley effects to reliability-oriented sensitivity analysis with correlated inputs
Marouane Il Idrissi
V. Chabridon
Bertrand Iooss
14
34
0
20 Jan 2021
Analysis of three dimensional potential problems in non-homogeneous
  media with physics-informed deep collocation method using material transfer
  learning and sensitivity analysis
Analysis of three dimensional potential problems in non-homogeneous media with physics-informed deep collocation method using material transfer learning and sensitivity analysis
Hongwei Guo
X. Zhuang
Pengwan Chen
N. Alajlan
Timon Rabczuk
19
57
0
03 Oct 2020
New statistical methodology for second level global sensitivity analysis
New statistical methodology for second level global sensitivity analysis
Anouar Meynaoui
A. Marrel
Béatrice Laurent
30
14
0
19 Feb 2019
Extending classical surrogate modelling to high-dimensions through
  supervised dimensionality reduction: a data-driven approach
Extending classical surrogate modelling to high-dimensions through supervised dimensionality reduction: a data-driven approach
C. Lataniotis
S. Marelli
Bruno Sudret
20
66
0
15 Dec 2018
Accelerating Sensitivity Analysis in Microscopy Image Segmentation
  Workflows
Accelerating Sensitivity Analysis in Microscopy Image Segmentation Workflows
Willian de Oliveira Barreiros Junior
George Teodoro
14
0
0
28 Nov 2018
Robustness of the Sobol' indices to distributional uncertainty
Robustness of the Sobol' indices to distributional uncertainty
Joseph L. Hart
P. Gremaud
20
15
0
29 Mar 2018
Entanglement-guided architectures of machine learning by quantum tensor
  network
Entanglement-guided architectures of machine learning by quantum tensor network
Yuhan Liu
Xiao Zhang
M. Lewenstein
Shi-Ju Ran
21
32
0
24 Mar 2018
Quantifying dependencies for sensitivity analysis with multivariate
  input sample data
Quantifying dependencies for sensitivity analysis with multivariate input sample data
A. Eggels
D. Crommelin
17
4
0
06 Feb 2018
Principal component analysis and sparse polynomial chaos expansions for
  global sensitivity analysis and model calibration: application to urban
  drainage simulation
Principal component analysis and sparse polynomial chaos expansions for global sensitivity analysis and model calibration: application to urban drainage simulation
J. Nagel
J. Rieckermann
Bruno Sudret
6
63
0
11 Sep 2017
Shapley effects for sensitivity analysis with correlated inputs:
  comparisons with Sobol' indices, numerical estimation and applications
Shapley effects for sensitivity analysis with correlated inputs: comparisons with Sobol' indices, numerical estimation and applications
Bertrand Iooss
Clémentine Prieur
FAtt
23
96
0
05 Jul 2017
Sensitivity analysis using perturbed-law based indices for quantiles and
  application to an industrial case
Sensitivity analysis using perturbed-law based indices for quantiles and application to an industrial case
R. Sueur
Bertrand Iooss
T. Delage
21
9
0
05 Jul 2017
Efficient design of experiments for sensitivity analysis based on
  polynomial chaos expansions
Efficient design of experiments for sensitivity analysis based on polynomial chaos expansions
Evgeny Burnaev
I. Panin
Bruno Sudret
25
37
0
10 May 2017
An efficient methodology for the analysis and modeling of computer
  experiments with large number of inputs
An efficient methodology for the analysis and modeling of computer experiments with large number of inputs
Bertrand Iooss
A. Marrel
23
5
0
24 Apr 2017
Poincaré inequalities on intervals -- application to sensitivity
  analysis
Poincaré inequalities on intervals -- application to sensitivity analysis
O. Roustant
F. Barthe
Bertrand Iooss
11
47
0
12 Dec 2016
Metamodel-based sensitivity analysis: Polynomial chaos expansions and
  Gaussian processes
Metamodel-based sensitivity analysis: Polynomial chaos expansions and Gaussian processes
Loic Le Gratiet
S. Marelli
Bruno Sudret
21
157
0
14 Jun 2016
Global sensitivity analysis using low-rank tensor approximations
Global sensitivity analysis using low-rank tensor approximations
K. Konakli
Bruno Sudret
21
77
0
29 May 2016
Density modification based reliability sensitivity analysis
Density modification based reliability sensitivity analysis
Paul Lemaître
Ekatarina Sergienko
A. Arnaud
Nicolas Bousquet
Fabrice Gamboa
Bertrand Iooss
59
61
0
03 Oct 2012
Local Polynomial Estimation for Sensitivity Analysis on Models With
  Correlated Inputs
Local Polynomial Estimation for Sensitivity Analysis on Models With Correlated Inputs
Sébastien Da Veiga
Duc M. Cao
Fabrice Gamboa
89
126
0
25 Mar 2008
Global sensitivity analysis of computer models with functional inputs
Global sensitivity analysis of computer models with functional inputs
Bertrand Iooss
M. Ribatet
135
87
0
07 Feb 2008
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