MathematicsOptionalMTH-STOCH-339
Poisson Processes
properties, thinning, superposition, applications
- Difficulty
- 4 / 5
- Importance
- 5 / 5
- Study time
- 6.5–12 h
- Kind of work
- Theory
Why it matters
Mathematics of random processes evolving over time; essential for finance, ML, statistical physics, communications and queuing.
Where it is used
Options pricing, queue systems, recommendation algorithms, particle physics detection, noise in engineering systems.
How you know you have learned it
Explain/derive key result from memory + solve 2 non-routine checks.
Resources
- Probability and Random Processes (Grimmett & Stirzaker) — Grimmett & Stirzaker Book