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Mapping theorem (point process)

From Wikipedia, the free encyclopedia

The mapping theorem is a theorem in the theory of point processes, a sub-discipline of probability theory. It describes how a Poisson point process is altered under measurable transformations. This allows construction of more complex Poisson point processes out of homogeneous Poisson point processes and can, for example, be used to simulate these more complex Poisson point processes in a similar manner to inverse transform sampling.

Statement

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Let be locally compact and polish and let

be a measurable function. Let be a Radon measure on and assume that the pushforward measure

of under the function is a Radon measure on .

Then the following holds: If is a Poisson point process on with intensity measure , then is a Poisson point process on with intensity measure .[1]

References

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  1. ^ Klenke, Achim (2008). Probability Theory. Berlin: Springer. p. 531. doi:10.1007/978-1-84800-048-3. ISBN 978-1-84800-047-6.