In this article we give a general criterion for some dependent Gaussian models to belong to maximal domain of attraction of Gumbel, following an application of the Stein–Chen method studied in Arratia et al. (Ann Probab 17(1):9–25, 1989). We also show the convergence of the associated point process. As an application, we show the conditions are satisfied by some of the well-known supercritical Gaussian interface models, namely, membrane model, massive and massless discrete Gaussian free field, fractional Gaussian free field
Let be a d-dimensional array of independent standard Gaussian random variables. For a finite set def...
An interface is an area of space that separates two regions having different physical properties. Mo...
Let Xi,n, n ∈ N, 1 ≤ i ≤ n, be a triangular array of independent Rd-valued Gaussian random vectors w...
In this article we give a general criterion for some dependent Gaussian models to belong to maximal ...
In this article we give a general criterion for some dependent Gaussian models to belong to maximal ...
We show that the rescaled maximum of the discrete Gaussian Free Field (DGFF) in dimension larger or ...
We show that the rescaled maximum of the discrete Gaussian Free Field (DGFF) in dimension larger or ...
We consider the Gumbel or extreme value statistics describing the distribution function p_G(x_max) o...
Abstract. We study the maximum of a Gaussian field on [0, 1]d (d ≥ 1) whose correlations decay loga-...
International audienceWe consider the Gumbel or extreme value statistics describing the distribution...
We consider both the infinite-volume discrete Gaussian Free Field (DGFF) and the DGFF with zero boun...
We present a self-contained proof of a uniform bound on multi-point correlations of trigonometric fu...
We consider both the infinite-volume discrete Gaussian Free Field (DGFF) and the DGFF with zero boun...
We evaluate upper bounds for the maximal distributions of some Gaussian random fields, which arise i...
Interfaces are created to separate two distinct phases in a situation in which phase coexistence occ...
Let be a d-dimensional array of independent standard Gaussian random variables. For a finite set def...
An interface is an area of space that separates two regions having different physical properties. Mo...
Let Xi,n, n ∈ N, 1 ≤ i ≤ n, be a triangular array of independent Rd-valued Gaussian random vectors w...
In this article we give a general criterion for some dependent Gaussian models to belong to maximal ...
In this article we give a general criterion for some dependent Gaussian models to belong to maximal ...
We show that the rescaled maximum of the discrete Gaussian Free Field (DGFF) in dimension larger or ...
We show that the rescaled maximum of the discrete Gaussian Free Field (DGFF) in dimension larger or ...
We consider the Gumbel or extreme value statistics describing the distribution function p_G(x_max) o...
Abstract. We study the maximum of a Gaussian field on [0, 1]d (d ≥ 1) whose correlations decay loga-...
International audienceWe consider the Gumbel or extreme value statistics describing the distribution...
We consider both the infinite-volume discrete Gaussian Free Field (DGFF) and the DGFF with zero boun...
We present a self-contained proof of a uniform bound on multi-point correlations of trigonometric fu...
We consider both the infinite-volume discrete Gaussian Free Field (DGFF) and the DGFF with zero boun...
We evaluate upper bounds for the maximal distributions of some Gaussian random fields, which arise i...
Interfaces are created to separate two distinct phases in a situation in which phase coexistence occ...
Let be a d-dimensional array of independent standard Gaussian random variables. For a finite set def...
An interface is an area of space that separates two regions having different physical properties. Mo...
Let Xi,n, n ∈ N, 1 ≤ i ≤ n, be a triangular array of independent Rd-valued Gaussian random vectors w...