Moment formulae for general point processes
Laurent Decreusefond (LTCI), Ian Flint (LTCI)

TL;DR
This paper generalizes moment formulae for point processes using Papangelou intensities, enabling the calculation of moments of stochastic integrals and analyzing transformations of point processes.
Contribution
It introduces generalized moment formulae for arbitrary point processes based on Papangelou intensities, extending previous results.
Findings
Derived general formulas for moments of stochastic integrals of point processes
Applied these formulas to study transformations of point processes
Enhanced understanding of moment calculations in complex point process models
Abstract
The goal of this paper is to generalize most of the moment formulae obtained in [Pri11]. More precisely, we consider a general point process \mu, and show that the relevant quantities to our problem are the so-called Papangelou intensities. Then, we show some general formulae to recover the moment of order n of the stochastic integral of a random process. We will use these extended results to study a random transformation of the point process.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsSpectral Theory in Mathematical Physics
