Electronic Communications in Probability

Fractional Poisson field and fractional Brownian field: why are they resembling but different?

Hermine Biermé, Yann Demichel, and Anne Estrade

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Abstract

The fractional Poisson field (fPf) is constructed by considering the number of balls falling down on each point of $\mathbb R^D$, when the centers and the radii of the balls are thrown at random following a Poisson point process in $\mathbb R^D\times \mathbb R^+$ with an appropriate intensity measure. It provides a simple description for a non Gaussian random field that is centered, has stationary increments and has the same covariance function as the fractional Brownian field (fBf). The present paper is concerned with specific properties of the fPf, comparing them to their analogues for the fBf. On the one hand, we concentrate on the finite-dimensional distributions which reveal strong differences between the Gaussian world of the fBf and the Poissonnian world of the fPf. We provide two different representations for the marginal distributions of the fPf: as a Chentsov field, and on a regular grid in $\mathbb R^D$ with a numerical procedure for simulations. On the other hand, we prove that the Hurst index estimator based on quadratic variations which is commonly used for the fBf is still strongly consistent for the fPf. However the computations for the proof are very different from the usual ones.

Article information

Source
Electron. Commun. Probab., Volume 18 (2013), paper no. 11, 13 pp.

Dates
Accepted: 7 February 2013
First available in Project Euclid: 7 June 2016

Permanent link to this document
https://projecteuclid.org/euclid.ecp/1465315550

Digital Object Identifier
doi:10.1214/ECP.v18-1939

Mathematical Reviews number (MathSciNet)
MR3033594

Zentralblatt MATH identifier
1319.60105

Subjects
Primary: 60G60: Random fields
Secondary: 60D05: Geometric probability and stochastic geometry [See also 52A22, 53C65] 60G55: Point processes 62M40: Random fields; image analysis 62F10: Point estimation

Keywords
Random field Poisson random measure Poisson point process Fractional Brownian field Fractional process Chentsov field Hurst index

Rights
This work is licensed under a Creative Commons Attribution 3.0 License.

Citation

Biermé, Hermine; Demichel, Yann; Estrade, Anne. Fractional Poisson field and fractional Brownian field: why are they resembling but different?. Electron. Commun. Probab. 18 (2013), paper no. 11, 13 pp. doi:10.1214/ECP.v18-1939. https://projecteuclid.org/euclid.ecp/1465315550


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