✨
AI Summary
- Sensitivity analysis quantifies how model output uncertainty derives from input variable uncertainty
- Covers techniques from local analysis using derivatives to global methods like Sobol' indices and Shapley values
- Discusses differentiable programming and automatic differentiation for complex systems like agent-based models