Stochastic Processes
Random processes in time: Markov chains, Poisson processes, queues and Brownian motion.
STAT-331 Year 3 3 credits 12 lessons planned ▶ Video lessons coming soon
Offered by HSM University · Statistics
Course content
- 1What a stochastic process isComing
- 2Discrete-time Markov chainsComing
- 3Classification of statesComing
- 4Stationary distributions and convergenceComing
- 5Absorbing chains and first-step analysisComing
- 6The Poisson processComing
- 7Continuous-time Markov chainsComing
- 8Birth–death processes and queuesComing
- 9Renewal processesComing
- 10Branching processesComing
- 11Brownian motionComing
- 12Capstone: modelling a real system with simulationComing
Requirements
Recommended background. You can start any course at any time.
Description
Random processes in time: Markov chains, Poisson processes, queues and Brownian motion.
Part of the Science stream, typically taken in year 3.