Rescaled weighted random balls models and stable self-similar random fields

Jean-Christophe Breton (1) , Clément Dombry (2)

1 MIA - Mathématiques, Image et Applications - EA 3165
2 LMA [Poitiers] - Laboratoire de mathématiques et applications [UMR 6086]

We consider weighted random balls in $\real^d$ distributed according to a random Poisson measure with heavy-tailed intensity and study the asymptotic behaviour of the total weight of some configurations in $\real^d$. This procedure amounts to be very rich and several regimes appear in the limit, depending on the intensity of the balls, the zooming factor, the tail parameters of the radii and of the weights. Statistical properties of the limit fields are also evidenced, such as isotropy, self-similarity or dependence. One regime is of particular interest and yields $\alpha$-stable stationary isotropic self-similar generalized random fields which recovers Takenaka fields, Telecom process or fractional Brownian motion.

Mots clés: Poisson point process.; Poisson point process; self-similarity; generalized random fields; stable field

Domaines: Probabilités [math.PR]

Jean-Christophe Breton, Clément Dombry. Rescaled weighted random balls models and stable self-similar random fields. 2009. ⟨hal-00308169v2⟩