Transformations and invariance in the sensitivity analysis of computer experiments

E. Borgonovo; S. Tarantola; E. Plischke; M. D. Morris

doi:10.1111/rssb.12052

Transformations and invariance in the sensitivity analysis of computer experiments

Journal of the Royal Statistical Society Series B (Statistical Methodology) ◽

10.1111/rssb.12052 ◽

2013 ◽

Vol 76 (5) ◽

pp. 925-947 ◽

Cited By ~ 45

Author(s):

E. Borgonovo ◽

S. Tarantola ◽

E. Plischke ◽

M. D. Morris

Keyword(s):

Sensitivity Analysis ◽

Computer Experiments

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DGSA: A Matlab toolbox for distance-based generalized sensitivity analysis of geoscientific computer experiments

Computers & Geosciences ◽

10.1016/j.cageo.2016.08.021 ◽

2016 ◽

Vol 97 ◽

pp. 15-29 ◽

Cited By ~ 18

Author(s):

Jihoon Park ◽

Guang Yang ◽

Addy Satija ◽

Céline Scheidt ◽

Jef Caers

Keyword(s):

Sensitivity Analysis ◽

Computer Experiments ◽

Matlab Toolbox ◽

Generalized Sensitivity

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Computer experiments with functional outputs: Global sensitivity analysis and metamodeling

Procedia - Social and Behavioral Sciences ◽

10.1016/j.sbspro.2010.05.129 ◽

2010 ◽

Vol 2 (6) ◽

pp. 7583-7584

Author(s):

Benjamin Auder ◽

Bertrand Iooss ◽

Michel Marquès

Keyword(s):

Sensitivity Analysis ◽

Global Sensitivity Analysis ◽

Computer Experiments ◽

Global Sensitivity

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Functional ANOVA with Multiple Distributions: Implications for the Sensitivity Analysis of Computer Experiments

SIAM/ASA Journal on Uncertainty Quantification ◽

10.1137/16m1088545 ◽

2018 ◽

Vol 6 (1) ◽

pp. 397-427 ◽

Cited By ~ 5

Author(s):

Emanuele Borgonovo ◽

Max D. Morris ◽

Elmar Plischke

Keyword(s):

Sensitivity Analysis ◽

Computer Experiments ◽

Functional Anova

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Sequential designs for sensitivity analysis of functional inputs in computer experiments

Reliability Engineering & System Safety ◽

10.1016/j.ress.2014.07.018 ◽

2015 ◽

Vol 134 ◽

pp. 260-267 ◽

Cited By ~ 7

Author(s):

J. Fruth ◽

O. Roustant ◽

S. Kuhnt

Keyword(s):

Sensitivity Analysis ◽

Computer Experiments ◽

Sequential Designs

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Modeling of computer experiments for uncertainty propagation and sensitivity analysis

Statistics and Computing ◽

10.1007/s11222-011-9282-8 ◽

2011 ◽

Vol 22 (3) ◽

pp. 677-679 ◽

Cited By ~ 1

Author(s):

Anestis Antoniadis ◽

Alberto Pasanisi

Keyword(s):

Sensitivity Analysis ◽

Uncertainty Propagation ◽

Computer Experiments

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Author response for "Sensitivity analysis of mechanical properties and ductile/brittle behaviors in aluminum‐silicon alloy to loading rate and nano‐particles, considering interaction effects"

10.1002/eng2.12341/v3/response1 ◽

2020 ◽

Author(s):

Mohammad Azadi ◽

Mohammad Zomorodipour ◽

Abdoulhossein Fereidoon

Keyword(s):

Mechanical Properties ◽

Sensitivity Analysis ◽

Loading Rate ◽

Interaction Effects ◽

Nano Particles ◽

Author Response ◽

Silicon Alloy ◽

Aluminum Silicon Alloy ◽

Aluminum Silicon

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Decision letter for "Sensitivity analysis of mechanical properties and ductile/brittle behaviors in aluminum‐silicon alloy to loading rate and nano‐particles, considering interaction effects"

10.1002/eng2.12341/v1/decision1 ◽

2020 ◽

Keyword(s):

Mechanical Properties ◽

Sensitivity Analysis ◽

Loading Rate ◽

Interaction Effects ◽

Nano Particles ◽

Silicon Alloy ◽

Aluminum Silicon Alloy ◽

Aluminum Silicon

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Sensitivity analysis of flow in unsaturated heterogeneous porous media: Theory, numerical model and its verification

Water Resources Research ◽

10.1029/89wr03163 ◽

1990 ◽

Vol 26 (4) ◽

pp. 593-610 ◽

Cited By ~ 1

Author(s):

Z. J. Kabala

Keyword(s):

Sensitivity Analysis ◽

Porous Media ◽

Numerical Model ◽

Heterogeneous Porous Media ◽

Media Theory ◽

Porous Media Theory

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Supplemental Material for The Impact of Measurement Error and Omitting Confounders on Statistical Inference of Mediation Effects and Tools for Sensitivity Analysis

Psychological Methods ◽

10.1037/met0000345.supp ◽

2020 ◽

Keyword(s):

Sensitivity Analysis ◽

Measurement Error ◽

Statistical Inference ◽

Mediation Effects ◽

The Impact

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Advances in Sensitivity Analysis and Parametric Programming

Journal of the Operational Research Society ◽

10.1038/sj.jors.2600023 ◽

1998 ◽

Vol 49 (7) ◽

pp. 770-770

Author(s):

J M Wilson

Keyword(s):

Sensitivity Analysis ◽

Parametric Programming

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