Probability theory and stochastic processes Markov processes Concept
Poisson point process
Summary
A Poisson point process is a random set of points in which the numbers of points in disjoint regions are independent Poisson random variables. On the time axis, it models events that occur at random times with a constant rate. The node Poisson point process gives the precise definition of the homogeneous process on .
Where this leads
2 pages build on this one.
Further reading
- Web https://en.wikipedia.org/wiki/Poisson_point_process, lead section
About this page
| Tag | 0MTNR28K60 |
|---|---|
| URI | m2://0MTNR28K60 |
| Aliases | poisson-process |
| Kind | concept |
| Writing | W1 stated |
| MSC | 60G55 |
| Specializes | Stochastic process |
| Same as |
Markdown · JSON · Edit on GitHub
What this page needs for W2
- edge instance_of in: at least two examples (0 of 2)
- edge not_instance_of in: at least one non-example (0 of 1)
The writing levels say how complete the text of a page is. They do not measure its truth.