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Journal of theoretical probabability 23, 4 (2010) 1110-1141
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Self-similar random fields and rescaled random balls models
Hermine Biermé 1, Anne Estrade 1, Ingemar Kaj 2
For the This work was supported by ANR grant ``mipomodim'' NT05-1-42030 collaboration(s)
(2010)

We study generalized random fields which arise as rescaling limits of spatial configurations of uniformly scattered random balls as the mean radius of the balls tends to 0 or infinity. Assuming that the radius distribution has a power law behavior, we prove that the centered and renormalized random balls field admits a limit with strong spatial dependence. In particular, our approach provides a unified framework to obtain all self-similar, stationary and isotropic Gaussian fields. In addition to investigating stationarity and self-similarity properties, we give L^2-representations of the asymptotic generalized random fields viewed as continuous random linear functionals.
1:  Mathématiques appliquées Paris 5 (MAP5)
CNRS : UMR8145 – Université Paris V - Paris Descartes
2:  Department of Mathematics [Uppsala]
Uppsala Universitet
Mathematics/Probability
self-similarity – generalized random field – Poisson point process – fractional field – fractional Brownian motion
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