Binomial process

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A binomial process is a special point process in probability theory.

Definition[]

Let be a probability distribution and be a fixed natural number. Let be i.i.d. random variables with distribution , so for all .

Then the binomial process based on n and P is the random measure

where

Properties[]

Name[]

The name of a binomial process is derived from the fact that for all measurable sets the random variable follows a binomial distribution with parameters and :

Laplace-transform[]

The Laplace transform of a binomial process is given by

for all positive measurable functions .

Intensity measure[]

The intensity measure of a binomial process is given by

Generalizations[]

A generalization of binomial processes are mixed binomial processes. In these point processes, the number of points is not deterministic like it is with binomial processes, but is determined by a random variable . Therefore mixed binomial processes conditioned on are binomial process based on and .

Literature[]

  • Kallenberg, Olav (2017). Random Measures, Theory and Applications. Switzerland: Springer. doi:10.1007/978-3-319-41598-7. ISBN 978-3-319-41596-3.
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