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 be a locally compact second countable Hausdorff space and let be its Borel -algebra. A point process , interpreted as random measure on , is called a simple point process if it can be written as
:
for an index set and random elements which are almost everywhere pairwise distinct. Here denotes the Dirac measure on the point .
Examples
Simple point processes include many important classes of point processes such as Poisson processes, Cox processes and binomial processes.
Uniqueness
If is a generating ring of then a simple point process is uniquely determined by its values on the sets . This means that two simple point processes and have the same distributions iff
:
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}}