STATS 270P
Stochastic Processes
Introduction to the theory and application of stochastic processes. Topics include Poisson processes, Markov chains, continuous-time Markov processes, and Brownian motion. Applications include Markov chain Monte Carlo methods and financial modeling (e.g. option pricing).
Topics
- Poisson processes
- Markov chains
- continuous-time Markov 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 Poisson processes, Markov chains, continuous-time Markov processes, and Brownian motion. Applications include Markov chain Monte Carlo methods and financial modeling (e.g. option pricing).
Sources
- Course catalogue ↗2026-2027