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

Let S be a locally compact second countable Hausdorff space and let \mathcal S be its Borel \sigma -algebra. A point process \xi , interpreted as random measure on (S, \mathcal S) , is called a simple point process if it can be written as

: \xi =\sum_{i \in I} \delta_{X_i}

for an index set I and random elements X_i which are almost everywhere pairwise distinct. Here \delta_x denotes the Dirac measure on the point x .

Examples

Simple point processes include many important classes of point processes such as Poisson processes, Cox processes and binomial processes.

Uniqueness

If \mathcal I is a generating ring of \mathcal S then a simple point process \xi is uniquely determined by its values on the sets U \in \mathcal I . This means that two simple point processes \xi and \zeta have the same distributions iff

: P(\xi(U)=0) = P(\zeta(U)=0) \text{ for all } U \in \mathcal I

Literature

  • {{cite book |last1=Kallenberg |first1=Olav |author-link1=Olav Kallenberg |year=2017 |title=Random Measures, Theory and Applications|series=Probability Theory and Stochastic Modelling |volume=77 |location= Switzerland |publisher=Springer |doi= 10.1007/978-3-319-41598-7|isbn=978-3-319-41596-3}}
  • {{cite book |last1=Daley |first1=D.J. |last2= Vere-Jones | first2= D. |year=2003 |title=An Introduction to the Theory of Point Processes: Volume I: Elementary Theory and Methods|location= New York |publisher=Springer |isbn=0-387-95541-0}}

Category:Point processes