ReddRadar
Agent skill
monte-carlo-simulation
Monte Carlo methods for uncertainty quantification
Install this agent skill to your Project
npx add-skill https://github.com/a5c-ai/babysitter/tree/main/library/specializations/domains/science/mathematics/skills/monte-carlo-simulation
Metadata
Additional technical details for this skill
- phase
- 6
- domain
- science
- category
- uncertainty-quantification
- specialization
- mathematics
SKILL.md
Monte Carlo Simulation
Purpose
Provides Monte Carlo methods for uncertainty quantification, integration, and probabilistic analysis.
Capabilities
- Standard Monte Carlo sampling
- Importance sampling
- Stratified sampling
- Quasi-Monte Carlo (Sobol, Halton sequences)
- Markov chain Monte Carlo
- Convergence analysis
Usage Guidelines
- Sampling Strategy: Choose appropriate sampling method
- Sample Size: Determine sufficient sample sizes
- Variance Reduction: Apply variance reduction techniques
- Convergence: Monitor convergence diagnostics
Tools/Libraries
- NumPy
- scipy.stats
- SALib
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