STAT 833Stochastic Processes 2
- Units
- 0.50
- Level
- Graduate
- Faculty
- Mathematics
- Subject
- Statistics
STAT 833 as listed in the Spring 2024 Graduate Calendar. The main page has the current version, when it runs, and seats.
This course provides further ideas and methods in stochastic modelling, with an emphasis on continuous-time stochastic processes. Topics cover time to absorption based quantities and discrete phase-type distributions of discrete-time Markov chains, continuous-time Markov chains with a countable state space, limit distributions for ergodic and absorbing chains, and applications including birth and death processes and queueing models of practical interest. Other topics may include continuous phase-type distributions, renewal theory and limit theorems for regenerative processes, and phase-type renewal processes.
Prerequisites
None listed.
Antirequisites
- Not completed nor concurrently enrolled in:
Leads to
No course lists it as a requisite.
Check it elsewhere for Spring 2024
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