Sensitivity analysis uq
Skill a5c-ai/babysitter/library/specializations/domains/science/mathematics/skills/sensitivity-analysis-uq
Global sensitivity analysis methodsFrom its SKILL.md
npx -y skills add a5c-ai/babysitter --skill sensitivity-analysis-uqAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
SKILL.md
1.2 KB, 142 tokens by cl100k_base, as published. Nobody here has run it
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
- Method Selection: Choose based on computational budget
- Input Ranges: Define appropriate input ranges
- Sample Size: Ensure sufficient samples for convergence
- Interpretation: Correctly interpret sensitivity indices
Tools/Libraries
- SALib
- OpenTURNS
- UQLab
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.