Abstract. The fractional Poisson field (fPf) can be interpreted in term of the number of balls falling down on each point of RD, when the centers and the radii of the balls are thrown at random following a Poisson point process in RD×R+ with an appropriate intensity measure. It provides a simple description for a non Gaussian random field that has the same covariance function as the fractional Brownian field. In the present paper, we concentrate on the restrictions of the fPf to finite sets of points in RD. Actually, since it takes discrete values, it seems natural to adapt this field to a discrete context. We are particularly interested in its finite-dimensional distributions, in its representation on a finite grid, and in its discrete var...
This paper considers random balls in a D-dimensional Euclidean space whose centers are prescribed by...
We present new properties for the Fractional Poisson process and the Fractional Poisson field on th...
International audienceIn a previous paper, the authors introduced an approach to prove that the stat...
Abstract. The fractional Poisson field (fPf) is constructed by considering the number of balls falli...
International audienceThe fractional Poisson field (fPf) is constructed by considering the number of...
International audienceWe propose discrete random-field models that are based on random partitions of...
We present new properties for the Fractional Poisson process (FPP) and theFractional Poisson \ufb01e...
We discuss a family of random fields indexed by a parameter s ∈ Rwhich we call the fractional Gaussi...
We discuss a family of random fields indexed by a parameter s ∈ R which we call the fractional Gauss...
Using inverse subordinators and Mittag-Leffler functions, we present a new definition of a fractiona...
We consider a random sphere covering model made of random balls with interacting random ra...
We explore a generalisation of the L´evy fractional Brownian field on the Euclidean space based on ...
The fractional Poisson process (FPP) is a counting process with independent and identically distribu...
We present three different fractional versions of the Poisson process and some related results conce...
Summarization: The fractional Gaussian noise (fGn) and fractional Brownian motion (fBm) random field...
This paper considers random balls in a D-dimensional Euclidean space whose centers are prescribed by...
We present new properties for the Fractional Poisson process and the Fractional Poisson field on th...
International audienceIn a previous paper, the authors introduced an approach to prove that the stat...
Abstract. The fractional Poisson field (fPf) is constructed by considering the number of balls falli...
International audienceThe fractional Poisson field (fPf) is constructed by considering the number of...
International audienceWe propose discrete random-field models that are based on random partitions of...
We present new properties for the Fractional Poisson process (FPP) and theFractional Poisson \ufb01e...
We discuss a family of random fields indexed by a parameter s ∈ Rwhich we call the fractional Gaussi...
We discuss a family of random fields indexed by a parameter s ∈ R which we call the fractional Gauss...
Using inverse subordinators and Mittag-Leffler functions, we present a new definition of a fractiona...
We consider a random sphere covering model made of random balls with interacting random ra...
We explore a generalisation of the L´evy fractional Brownian field on the Euclidean space based on ...
The fractional Poisson process (FPP) is a counting process with independent and identically distribu...
We present three different fractional versions of the Poisson process and some related results conce...
Summarization: The fractional Gaussian noise (fGn) and fractional Brownian motion (fBm) random field...
This paper considers random balls in a D-dimensional Euclidean space whose centers are prescribed by...
We present new properties for the Fractional Poisson process and the Fractional Poisson field on th...
International audienceIn a previous paper, the authors introduced an approach to prove that the stat...