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 \cite{AGG}. 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
In this paper, we study the asymptotic distribution of the maxima of suprema of dependent Gaussian p...
We investigate the product Y1Y2 of two independent positive risks Y1 and Y2. If Y1 has distribution ...
We consider the membrane model, that is the centered Gaussian field on Zdwhose covariance matrix is ...
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 both the infinite-volume discrete Gaussian Free Field (DGFF) and the DGFF with zero boun...
We consider both the infinite-volume discrete Gaussian Free Field (DGFF) and the DGFF with zero boun...
We consider the Gumbel or extreme value statistics describing the distribution function p_G(x_max) o...
We consider the Gumbel or extreme value statistics describing the distribution function pG(νmax) of ...
Abstract. We study the maximum of a Gaussian field on [0, 1]d (d ≥ 1) whose correlations decay loga-...
Modeling the critical points of a Gaussian random field is an important challenge in stochastic geom...
In this paper we examine isotropic Gaussian random fields defined on $\mathbb R^N$ satisfying certai...
We use the Stein-Chen method to study the extremal behaviour of univariate and bivariate geometric l...
We present a self-contained proof of a uniform bound on multi-point correlations of trigonometric fu...
In this paper, we study the asymptotic distribution of the maxima of suprema of dependent Gaussian p...
We investigate the product Y1Y2 of two independent positive risks Y1 and Y2. If Y1 has distribution ...
We consider the membrane model, that is the centered Gaussian field on Zdwhose covariance matrix is ...
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 both the infinite-volume discrete Gaussian Free Field (DGFF) and the DGFF with zero boun...
We consider both the infinite-volume discrete Gaussian Free Field (DGFF) and the DGFF with zero boun...
We consider the Gumbel or extreme value statistics describing the distribution function p_G(x_max) o...
We consider the Gumbel or extreme value statistics describing the distribution function pG(νmax) of ...
Abstract. We study the maximum of a Gaussian field on [0, 1]d (d ≥ 1) whose correlations decay loga-...
Modeling the critical points of a Gaussian random field is an important challenge in stochastic geom...
In this paper we examine isotropic Gaussian random fields defined on $\mathbb R^N$ satisfying certai...
We use the Stein-Chen method to study the extremal behaviour of univariate and bivariate geometric l...
We present a self-contained proof of a uniform bound on multi-point correlations of trigonometric fu...
In this paper, we study the asymptotic distribution of the maxima of suprema of dependent Gaussian p...
We investigate the product Y1Y2 of two independent positive risks Y1 and Y2. If Y1 has distribution ...
We consider the membrane model, that is the centered Gaussian field on Zdwhose covariance matrix is ...