Variance-based interaction index measuring heteroscedasticity

DOI10.1016/J.CPC.2016.02.032zbMath1375.49037OpenAlexW2296172663MaRDI QIDQ1682466

Tom Dhaene, Ivo Couckuyt, Silvia Poles, Keiichi Ito

Publication date: 30 November 2017

Published in: Computer Physics Communications (Search for Journal in Brave)

Full work available at URL: https://biblio.ugent.be/publication/7240730/file/7240732

zbMATH Keywords

optimizationparameter estimationsensitivity analysisinteractionproblem decompositionSobol' indices

Mathematics Subject Classification ID

Monte Carlo methods (65C05) Sensitivity, stability, well-posedness (49K40)

Uses Software

• SUMO

Cites Work

• Unnamed Item
• Partitioned solution of an unsteady adjoint for strongly coupled fluid-structure interactions and application to parameter identification of a one-dimensional problem
• Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index
• From screening to quantitative sensitivity analysis. A unified approach
• Regularized random-sampling high dimensional model representation (RS-HDMR)
• Computational vascular fluid dynamics: problems, models and methods
• General foundations of high-dimensional model representations
• Making best use of model evaluations to compute sensitivity indices
• On the use of variance reducing multipliers in Monte Carlo computations of a global sensitivity index
• Estimation of global sensitivity indices for models with dependent variables
• Sensitivity analysis and model order reduction for random linear dynamical systems
• Variance-Based Global Sensitivity Analysis via Sparse-Grid Interpolation and Cubature
• A Quasi-Newton Algorithm Based on a Reduced Model for Fluid-Structure Interaction Problems in Blood Flows
• Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates

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