Probabilistic and statistical models
Mathematical modeling · STEM / applied
Elementary probability models for uncertainty
Objectives
- Elementary probability models for uncertainty
- Monte Carlo simulation (introduction)
- Markov chains for simple stochastic models
- Regression and calibration of model parameters
- Confidence intervals and prediction in applied settings
Study materials
- Practice testComing soon