Installable skillMIT

Sensitivity Analysis (UQ)

Global sensitivity analysis methods

BY a5c-aiUPDATED Oct 28, 2026
INTENDED FOR✳Claude Code>_Codex◈OpenClaw↗CursorInstall in a listed agent.

instructions.md

---
name: sensitivity-analysis-uq-5161ed48a495
description: Global sensitivity analysis methods
allowed-tools:
  - Bash
  - Read
  - Write
  - Edit
  - Glob
  - Grep
metadata:
  specialization: mathematics
  domain: science
  category: uncertainty-quantification
  phase: 6
graph:
  domains: [domain:mathematics]
  specializations: [specialization:computational-mathematics]
  skillAreas: [skill-area:statistical-analysis, skill-area:mathematical-reasoning, skill-area:data-analysis]
  workflows: [workflow:experiment-design]
  roles: [role:research-scientist, role:data-scientist]
---

# 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
COMPATIBILITY & REFERENCES

Platform guidance

Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.