Markov property of point processes
β Scribed by Hans G. Kellerer
- Publisher
- Springer
- Year
- 1987
- Tongue
- English
- Weight
- 393 KB
- Volume
- 76
- Category
- Article
- ISSN
- 1432-2064
No coin nor oath required. For personal study only.
β¦ Synopsis
A point process .A~ on R+ can be represented by the associated counting process (it; teR+) or by the associated sequence of jump times (%; n~Z+) and in accordance may possess two types of Markov property. The present paper first clarifies their mutual dependence, leading in particular to the notion of "weak multiplicativity" for the joint distribution of two consecutive jump times. Then, by means of results from a previous paper, a uniquely determined "Markov variant" ~ 7~ is assigned to .At without changing the one-dimensional marginals. This provides in particular a new characterization of the Poisson process by these marginals and the adequate Markov property. Further applications concern the explicit construction of the compensator and certain transition probabilities of X.
π SIMILAR VOLUMES
We introduce adapted sets and optional sets and we study a type of strong Markov property for set-indexed processes that can be associated with the sharp Markov property deΓΏned by Ivano and Merzbach (
The "splitting techniques" for MARKOV chains developed by NUMMELIN (197th) :tnd QTHREYA and NET (1978 b) are used to derive an imbedded renewal process in WOLD'S point process with MARKov-correlated intervals. This leads to a simple proof of renewal theorems for snch processes. I n particular, a key