Derivative-based integral equalities and inequality: a proxy-measure for sensitivity analysis
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Publication:1998235
DOI10.1016/j.matcom.2020.08.006OpenAlexW3058156698MaRDI QIDQ1998235
Publication date: 6 March 2021
Published in: Mathematics and Computers in Simulation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.matcom.2020.08.006
Sobol's indicesgeneralized sensitivity indicesderivative global sensitivity measurederivative-based ANOVAoptimal Poincaré-type inequalities
Distribution theory (60Exx) Measures, integration, derivative, holomorphy (all involving infinite-dimensional spaces) (46Gxx)
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- Total interaction index: a variance-based sensitivity index for second-order interaction screening
- Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index
- Weighted Poincaré-type inequalities for Cauchy and other convex measures
- The jackknife estimate of variance
- Isoperimetric and analytic inequalities for log-concave probability measures
- Making best use of model evaluations to compute sensitivity indices
- Derivative-based generalized sensitivity indices and Sobol' indices
- Derivative-based global sensitivity measures: general links with Sobol' indices and numerical tests
- Crossed-derivative based sensitivity measures for interaction screening
- Global sensitivity measures from given data
- Derivative based global sensitivity measures and their link with global sensitivity indices
- Poincaré inequalities on intervals -- application to sensitivity analysis
- On weighted isoperimetric and Poincaré-type inequalities
- Handbook of Uncertainty Quantification
- Derivative-Based Global Sensitivity Measures and Their Link with Sobol’ Sensitivity Indices
- Better estimation of small sobol' sensitivity indices
- HIGH DIMENSIONAL SENSITIVITY ANALYSIS USING SURROGATE MODELING AND HIGH DIMENSIONAL MODEL REPRESENTATION
- GLOBAL SENSITIVITY ANALYSIS: AN EFFICIENT NUMERICAL METHOD FOR APPROXIMATING THE TOTAL SENSITIVITY INDEX
- Variance Components and Generalized Sobol' Indices
- Transformations and Invariance in the Sensitivity Analysis of Computer Experiments
- Estimating Mean Dimensionality of Analysis of Variance Decompositions
- A Class of Statistics with Asymptotically Normal Distribution
- Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates
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