In this program
- Monte Carlo simulation for probability
- Inference
- Bootstrap resampling
- Numerical optimization for MLE
- Random number generation
- Seeding
- Matrix computations for statistics (intro)
Simulation and numerics
Monte Carlo simulation for probability
Statistical computing · STEM / applied
Topic
Monte Carlo simulation for probability
Undergraduate Statistical computing — outline derived from course README sections and typical US statistics syllabi (OpenIntro / standard OER where applicable).