Stochastic Processes (MATH 380)

 

1. A review of probability theory and applications in insurance
2. A review on Random Variables and their distributions with applications in insurance
3. Conditional Probability and Conditional Expectation
4. Discrete time processes: Markov Chains
5. The Exponential Distribution and the Poisson Process
6. Continuous-time processes: Brownian motions and related processes