Kybernetika 50 no. 6, 896-913, 2014

Functionals of spatial point process having density with respect to the Poisson process

This article was granted Editor's award of the year 2014Editor's award 2014

Viktor Beneš and Markéta ZikmundováDOI: 10.14736/kyb-2014-6-0896

Abstract:

$U$-statistics of spatial point processes given by a density with respect to a Poisson process are investigated. In the first half of the paper general relations are derived for the moments of the functionals using kernels from the Wiener-Itô chaos expansion. In the second half we obtain more explicit results for a system of $U$-statistics of some parametric models in stochastic geometry. In the logarithmic form functionals are connected to Gibbs models. There is an inequality between moments of Poisson and non-Poisson functionals in this case, and we have a version of the central limit theorem in the Poisson case.

Keywords:

moments, difference of a functional, limit theorem, U-statistics

Classification:

60G55, 60D05

References:

  1. A. Baddeley: Spatial point processes and their applications. Stochastic geometry. Lecture Notes in Math. 1892 (2007), 1-75.   CrossRef
  2. L. Decreusefond and I. Flint: Moment formulae for general point processes. C. R. Acad. Sci. Paris, Ser. I (2014), 352, 357-361.   CrossRef
  3. J. Kaucky: Combinatorial Identities (in Czech). Veda, Bratislava 1975.   CrossRef
  4. G. Last and M. D. Penrose: Poisson process Fock space representation, chaos expansion and covariance inequalities. Probab. Theory Relat. Fields 150 (2011), 663-690.   CrossRef
  5. G. Last, M. D. Penrose, M. Schulte and Ch. Thäle: Moments and central limit theorems for some multivariate Poisson functionals. Adv. Appl. Probab. 46 (2014), 2, 348-364.   CrossRef
  6. J. Møller and K. Helisová: Power diagrams and interaction processes for unions of disc. Adv. Appl. Probab. 40 (2008), 321-347.   CrossRef
  7. J. Møller and R. Waagepetersen: Statistical Inference and Simulation for Spatial Point Processes. Chapman and Hall/CRC, Boca Raton 2004.   CrossRef
  8. G. Peccati and M. S. Taqqu: Wiener Chaos: Moments, Cumulants and Diagrams. Bocconi Univ. Press, Springer, Milan 2011.   CrossRef
  9. G. Peccati and C. Zheng: Multi-dimensional Gaussian fluctuations on the Poisson space. Electron. J. Probab. 15 (2010), 48, 1487-1527.   CrossRef
  10. M. Reitzner and M. Schulte: Central limit theorems for $U$-statistics of Poisson point processes. Ann. Probab. 41 (2013), 3879-3909.   CrossRef
  11. R. Schneider and W. Weil: Stochastic and Integral Geometry. Springer, Berlin 2008.   CrossRef