STATS 270
Stochastic Processes
Introduction to the theory and application of stochastic processes. Topics include Markov chains, continuous-time Markov processes, Poisson processes, and Brownian motion. Applications include Markov chain Monte Carlo methods and financial modeling (for example, option pricing).
Topics
- Markov chains
- continuous-time Markov processes
- Poisson processes
- and Brownian motion
Topics explicitly listed in official catalogue description
Prerequisites & course information
Introduction to the theory and application of stochastic processes. Topics include Markov chains, continuous-time Markov processes, Poisson processes, and Brownian motion. Applications include Markov chain Monte Carlo methods and financial modeling (for example, option pricing).
Sources
- Course catalogue ↗2026-2027