Simple point process
A simple point process is a special type of point process in probability theory. In simple point processes, every point is assigned the weight one.
Definition
[edit ]Let {\displaystyle S} be a locally compact second countable Hausdorff space and let {\displaystyle {\mathcal {S}}} be its Borel {\displaystyle \sigma }-algebra. A point process {\displaystyle \xi }, interpreted as random measure on {\displaystyle (S,{\mathcal {S}})}, is called a simple point process if it can be written as
- {\displaystyle \xi =\sum _{i\in I}\delta _{X_{i}}}
for an index set {\displaystyle I} and random elements {\displaystyle X_{i}} which are almost everywhere pairwise distinct. Here {\displaystyle \delta _{x}} denotes the Dirac measure on the point {\displaystyle x}.
Examples
[edit ]Simple point processes include many important classes of point processes such as Poisson processes, Cox processes and binomial processes.
Uniqueness
[edit ]If {\displaystyle {\mathcal {I}}} is a generating ring of {\displaystyle {\mathcal {S}}} then a simple point process {\displaystyle \xi } is uniquely determined by its values on the sets {\displaystyle U\in {\mathcal {I}}}. This means that two simple point processes {\displaystyle \xi } and {\displaystyle \zeta } have the same distributions iff
- {\displaystyle P(\xi (U)=0)=P(\zeta (U)=0){\text{ for all }}U\in {\mathcal {I}}}
Literature
[edit ]- Kallenberg, Olav (2017). Random Measures, Theory and Applications. Probability Theory and Stochastic Modelling. Vol. 77. Switzerland: Springer. doi:10.1007/978-3-319-41598-7. ISBN 978-3-319-41596-3.
- Daley, D.J.; Vere-Jones, D. (2003). An Introduction to the Theory of Point Processes: Volume I: Elementary Theory and Methods. New York: Springer. ISBN 0-387-95541-0.