We consider both the infinite-volume discrete Gaussian Free Field (DGFF) and the DGFF with zero boundary conditions outside a finite box in dimension larger or equal to 3. We show that the associated extremal process converges to a Poisson point process. The result follows from an application of the Stein-Chen method from Arratia et al. (1989)
We consider the Gaussian free field on Zd, d ≥ 3, and prove that the critical density for percolatio...
The Gaussian Free Field (GFF) is a canonical random surface in probability theory generalizing Brown...
We introduce a stochastic point process of S-supporting points and prove that upon rescaling it conv...
We consider both the infinite-volume discrete Gaussian Free Field (DGFF) and the DGFF with zero boun...
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 ...
In this article we give a general criterion for some dependent Gaussian models to belong to maximal ...
We consider the Discrete Gaussian Free Field (DGFF) in domains $D_N\subseteq\mathbb Z^2$ arising, vi...
Abstract: We study the extremal process associated with the Discrete Gaussian Free Field on the squa...
In this article we give a general criterion for some dependent Gaussian models to belong to maximal ...
Let η t be a Poisson point process with intensity measure tμ , t>0 , over a Borel space X , where ...
We consider a class of non-homogeneous, continuous, centered Gaussian random fields $\{X_h(...
We consider the Gaussian free field on Zd, d≥3, and prove that the critical density for percolation ...
AbstractConsider a discrete-time x2-process, i.e. a process defined as the sum of squares of indepen...
Preliminary draft We investigate the phase transition in a non-planar correlated percolation model w...
We consider the Gaussian free field on Zd, d ≥ 3, and prove that the critical density for percolatio...
The Gaussian Free Field (GFF) is a canonical random surface in probability theory generalizing Brown...
We introduce a stochastic point process of S-supporting points and prove that upon rescaling it conv...
We consider both the infinite-volume discrete Gaussian Free Field (DGFF) and the DGFF with zero boun...
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 ...
In this article we give a general criterion for some dependent Gaussian models to belong to maximal ...
We consider the Discrete Gaussian Free Field (DGFF) in domains $D_N\subseteq\mathbb Z^2$ arising, vi...
Abstract: We study the extremal process associated with the Discrete Gaussian Free Field on the squa...
In this article we give a general criterion for some dependent Gaussian models to belong to maximal ...
Let η t be a Poisson point process with intensity measure tμ , t>0 , over a Borel space X , where ...
We consider a class of non-homogeneous, continuous, centered Gaussian random fields $\{X_h(...
We consider the Gaussian free field on Zd, d≥3, and prove that the critical density for percolation ...
AbstractConsider a discrete-time x2-process, i.e. a process defined as the sum of squares of indepen...
Preliminary draft We investigate the phase transition in a non-planar correlated percolation model w...
We consider the Gaussian free field on Zd, d ≥ 3, and prove that the critical density for percolatio...
The Gaussian Free Field (GFF) is a canonical random surface in probability theory generalizing Brown...
We introduce a stochastic point process of S-supporting points and prove that upon rescaling it conv...