Sensitivity analysis for non-linear mathematical models.¶
Sobol', I. M. (1993). Sensitivity analysis for non-linear mathematical models. Mathematical Modelling and Computational Experiments, 1(4), 407-414.
Cited by¶
2 citations across 2 artifacts.
Each citation links to the sentence it supports in the citing article.
Primes¶
Mechanisms¶
- Stochastic Sensitivity Analysis
- Its failure mode is the temptation to economize with one-at-a-time sensitivity, wiggling each input alone around a baseline; that misses interactions and can rank the wrong driver first when effects are coupled, which is exactly why variance-based global indices exist.
This sourceDevelops variance-based global sensitivity indices that quantify individual-input and interaction contributions across the input domain.
- Its failure mode is the temptation to economize with one-at-a-time sensitivity, wiggling each input alone around a baseline; that misses interactions and can rank the wrong driver first when effects are coupled, which is exactly why variance-based global indices exist.
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