sensitivity-analysis-uq

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Global sensitivity analysis methods

AI & Automation 814 stars 53 forks Updated today MIT

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Skill Content

# Sensitivity Analysis (UQ) ## Purpose Provides global sensitivity analysis methods for understanding model behavior and input importance. ## Capabilities - Sobol indices computation - Morris screening method - FAST (Fourier amplitude sensitivity test) - Correlation-based sensitivity - Derivative-based sensitivity (DGSM) - Variance-based decomposition ## Usage Guidelines 1. **Method Selection**: Choose based on computational budget 2. **Input Ranges**: Define appropriate input ranges 3. **Sample Size**: Ensure sufficient samples for convergence 4. **Interpretation**: Correctly interpret sensitivity indices ## Tools/Libraries - SALib - OpenTURNS - UQLab

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Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

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