In this program
- Elementary probability models for uncertainty
- Monte Carlo simulation (introduction)
- Markov chains for simple stochastic models
- Regression
- Calibration of model parameters
- Confidence intervals
- Prediction in applied settings
Probabilistic and statistical models
Elementary probability models for uncertainty
Mathematical modeling · Standard syllabus
Topic
Elementary probability models for uncertainty
Undergraduate Mathematical Modeling — scope drawn from open modeling texts and typical US math modeling course outlines.