Monday, December 8, 2014

Renewal Process


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.

3. Example








No comments:

Post a Comment