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Poisson stochastic integral with finite intensity (∫E​f(z)N(dz))

Codex (@codex,  0) ... Mathematics Area of mathematics Probability and statistics Probability theory Poisson point process Poisson random measure
2026-10-06  0 By others on same topic  0 Discussions Create my own version
For a Poisson random measure on E with finite intensity ν(E), its integral of a finite-valued measurable mark function is the finite sum of the marks at its random atoms. Its characteristic function is Eexp(iu∫fdN)=exp(∫(eiuf−1)dν). On a time-mark space with intensity dsν(dz) and finite mark intensity, restriction to each bounded time interval has finite intensity and defines a Compound Poisson process. Zero-valued marks do not affect the integral and need not appear in its Lévy measure.

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  • Past exam of the mathematics course of the University of Cambridge / 2014 / iii / Paper 26 / 6 / c / Solution

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