Probability & Statistics¶
From classical probability to measure-theoretic foundations. Direct prerequisite for stochastic calculus.
Topics¶
- Sample spaces and events
- Random variables
- Distributions (discrete and continuous)
- Expectation and variance
- Limit theorems (LLN, CLT)
- Conditional expectation
- Measure-theoretic probability