Global sensitivity analysis for multivariate outputs using generalized RBF-PCE metamodel enhanced by variance-based sequential sampling
Authors:
- Lin ChenLCLin Chen
- Hanyan HuangHHHanyan Huang
- 10 November 2023
- journal article
- research article
- Published by Elsevier in Applied Mathematical Modelling
- Vol. 126, 381-404
Abstract
No abstract availableKeywords
Funding Information
- National Natural Science Foundation of China
This publication has 56 references indexed in Scilit:
- Multivariate sensitivity analysis to measure global contribution of input factors in dynamic modelsReliability Engineering & System Safety, 2011
- Adaptive sparse polynomial chaos expansion based on least angle regressionJournal of Computational Physics, 2011
- A methodology for performing global uncertainty and sensitivity analysis in systems biologyJournal of Theoretical Biology, 2008
- Sparse polynomial chaos expansions and adaptive stochastic finite elements using a regression approachComptes Rendus Mécanique, 2008
- State Dependent Parameter metamodelling and sensitivity analysisComputer Physics Communications, 2007
- An effective screening design for sensitivity analysis of large modelsEnvironmental Modelling & Software, 2007
- Efficient Nearly Orthogonal and Space-Filling Latin HypercubesTechnometrics, 2007
- Sensitivity analysis when model outputs are functionsReliability Engineering & System Safety, 2006
- Application-driven sequential designs for simulation experiments: Kriging metamodellingJournal of the Operational Research Society, 2004
- Minimax and maximin distance designsJournal of Statistical Planning and Inference, 1990