21 pagesIn this work, we propose a random balls model on $\mathbb{C}$ generated by a determinantal point process. We use a Ginibre point process to generate the centers of the balls and thus we introduce repulsion phenomena between the balls. Studying the model at a macroscopic level allows us to extend the results obtained for random balls models generated by a Poisson point process. Indeed, we obtain three different limit fields : the first one is a Gaussian integral, the second one is a stable integral and the last one is a Poissonian integral that bridges between the two previous ones
We study translation-invariant determinantal random point fields on the real line. We prove...
For a broad class of point processes, including determinantal point processes, we construct associat...
We prove that under fairly general conditions properly rescaled determinantal random point ...
21 pagesIn this work, we propose a random balls model on $\mathbb{C}$ generated by a determinantal p...
29 pagesInternational audienceWe consider a collection of Euclidean random balls in ${\Bbb R}^d$ gen...
In this thesis, we study the asymptotic behavior of random balls models generated by different point...
28 pagesIn this article, we consider a configuration of weighted random balls in $\mathbb{R}^d$ gene...
We consider a collection of weighted Euclidian random balls in ℝd distributed according a determinan...
Dans cette thèse, on étudie le comportement asymptotique de modèles de boules aléatoires engendrées ...
We consider a random sphere covering model made of random balls with interacting random ra...
Poisson point process is the most well-known point process with many applications. Unlike Poisson po...
The paper contains an exposition of recent as well as old enough results on determinantal r...
AbstractWe introduce certain classes of random point fields, including fermion and boson point proce...
Determinantal point processes (DPPs) have recently proved to be a useful class of models in several ...
Let X be a translation invariant point process on the Euclidean space E and let D, a subset of E, ...
We study translation-invariant determinantal random point fields on the real line. We prove...
For a broad class of point processes, including determinantal point processes, we construct associat...
We prove that under fairly general conditions properly rescaled determinantal random point ...
21 pagesIn this work, we propose a random balls model on $\mathbb{C}$ generated by a determinantal p...
29 pagesInternational audienceWe consider a collection of Euclidean random balls in ${\Bbb R}^d$ gen...
In this thesis, we study the asymptotic behavior of random balls models generated by different point...
28 pagesIn this article, we consider a configuration of weighted random balls in $\mathbb{R}^d$ gene...
We consider a collection of weighted Euclidian random balls in ℝd distributed according a determinan...
Dans cette thèse, on étudie le comportement asymptotique de modèles de boules aléatoires engendrées ...
We consider a random sphere covering model made of random balls with interacting random ra...
Poisson point process is the most well-known point process with many applications. Unlike Poisson po...
The paper contains an exposition of recent as well as old enough results on determinantal r...
AbstractWe introduce certain classes of random point fields, including fermion and boson point proce...
Determinantal point processes (DPPs) have recently proved to be a useful class of models in several ...
Let X be a translation invariant point process on the Euclidean space E and let D, a subset of E, ...
We study translation-invariant determinantal random point fields on the real line. We prove...
For a broad class of point processes, including determinantal point processes, we construct associat...
We prove that under fairly general conditions properly rescaled determinantal random point ...