Regenerative Process
Stochastic Process Notes, from Lecture 10
1. Definition
A stochastic process $X(t)$ is a regenerative process if
- Process stochastically starts over at even time $S_1, S_2, \cdots$
- Times between events $X_1, X_2, \cdots$ are i.i.d
2. Regenerative Process v.s. Renewal Process
- A renewal process $N(t)$ counts (increasing over time) and has property 2 shown above.
- A regenerative process $X(t)$ keeps track of something else and starts over.
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