Name
Title | ||
|---|---|---|
Global sensitivity analysis for multivariate outputs based on multiple response Gaussian process model |
Abstract | ||
|---|---|---|
•Developing a new sensitivity index for models with multivariate outputs.•Measuring the dependence between each input variable and multiple outputs.•The MRGP surrogate model is introduced for computing all the sensitivity indices.•Analytical expressions are derived for the covariance decomposition based indices. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.ress.2019.04.039 | Reliability Engineering & System Safety |
Keywords | Field | DocType |
Global sensitivity analysis,Multivariate outputs,Dependence structure,Copula,Multiple response Gaussian process model | Multivariate statistics,Separable space,Surrogate model,Algorithm,Computational model,Gaussian process,Global sensitivity analysis,Engineering,Statistics,Covariance | Journal |
Volume | ISSN | Citations |
189 | 0951-8320 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fuchao Liu | 1 | 6 | 1.11 |
| Pengfei Wei | 2 | 6 | 2.12 |
| Chenghu Tang | 3 | 11 | 1.20 |
| Pan Wang | 4 | 37 | 13.87 |
| Zhufeng Yue | 5 | 15 | 4.40 |