English

Perturbation analysis of Poisson processes

Probability 2014-03-10 v3

Abstract

We consider a Poisson process Φ\Phi on a general phase space. The expectation of a function of Φ\Phi can be considered as a functional of the intensity measure λ\lambda of Φ\Phi. Extending earlier results of Molchanov and Zuyev [Math. Oper. Res. 25 (2010) 485-508] on finite Poisson processes, we study the behaviour of this functional under signed (possibly infinite) perturbations of λ\lambda. In particular, we obtain general Margulis-Russo type formulas for the derivative with respect to non-linear transformations of the intensity measure depending on some parameter. As an application, we study the behaviour of expectations of functions of multivariate L\'evy processes under perturbations of the L\'evy measure. A key ingredient of our approach is the explicit Fock space representation obtained in Last and Penrose [Probab. Theory Related Fields 150 (2011) 663-690].

Keywords

Cite

@article{arxiv.1203.3181,
  title  = {Perturbation analysis of Poisson processes},
  author = {Günter Last},
  journal= {arXiv preprint arXiv:1203.3181},
  year   = {2014}
}

Comments

Published in at http://dx.doi.org/10.3150/12-BEJ494 the Bernoulli (http://isi.cbs.nl/bernoulli/) by the International Statistical Institute/Bernoulli Society (http://isi.cbs.nl/BS/bshome.htm)

R2 v1 2026-06-21T20:34:06.943Z