Journal: Probability Theory Related Fields 155 (2013)International audienceWe obtain a representation of Feller's branching diffusion with logistic growth in terms of the local times of a reflected Brownian motion $H$ with a drift that is affine linear in the local time accumulated by $H$ at its current level. As in the classical Ray-Knight representation, the excursions of $H$ are the exploration paths of the trees of descendants of the ancestors at time $t=0$, and the local time of $H$ at height $t$ measures the population size at time $t$ (see e.g. \cite{LG4}). We cope with the dependence in the reproduction by introducing a pecking order of individuals: an individual explored at time $s$ and living at time $t=H_s$ is prone to be killed ...
AbstractWe give a new, intuitive and relatively straightforward proof of a path large-deviations res...
Consider a continuous time branching process, which is integer or real valued (in the latt...
76 pagesWe consider a system of particles which perform branching Brownian motion with negative drif...
Journal: Probability Theory Related Fields 155 (2013)International audienceWe obtain a representatio...
We obtain a representation of Feller’s branching diffusion with logistic growth in terms of the loca...
We give a new proof for a Ray-Knight representation of Feller's branching diffusion with logistic gr...
International audienceWe consider a discrete model of population with interaction where the birth an...
Branching Brownian motion is a random particle system which incorporates both the tree-like structur...
Cette thèse se compose de quatre chapitres:Le chapitre 1 étudie la distribution du temps de coalesce...
We consider a Feller diffusion (Zs, s ≥ 0) (with diffusion coefficient √ 2β and drift θ ∈ R) that we...
International audiencen this paper, we study the extinction time of logistic branching processes whi...
In order to model random density-dependence in population dynamics, we construct the random analogue...
We introduce flows of branching processes with competition, which describe the evolution of general ...
We study a spatial branching model, where the underlying motion is d-dimensional (d≥1) Brownian moti...
We give a new, intuitive and relatively straightforward proof of a path large-deviations result for ...
AbstractWe give a new, intuitive and relatively straightforward proof of a path large-deviations res...
Consider a continuous time branching process, which is integer or real valued (in the latt...
76 pagesWe consider a system of particles which perform branching Brownian motion with negative drif...
Journal: Probability Theory Related Fields 155 (2013)International audienceWe obtain a representatio...
We obtain a representation of Feller’s branching diffusion with logistic growth in terms of the loca...
We give a new proof for a Ray-Knight representation of Feller's branching diffusion with logistic gr...
International audienceWe consider a discrete model of population with interaction where the birth an...
Branching Brownian motion is a random particle system which incorporates both the tree-like structur...
Cette thèse se compose de quatre chapitres:Le chapitre 1 étudie la distribution du temps de coalesce...
We consider a Feller diffusion (Zs, s ≥ 0) (with diffusion coefficient √ 2β and drift θ ∈ R) that we...
International audiencen this paper, we study the extinction time of logistic branching processes whi...
In order to model random density-dependence in population dynamics, we construct the random analogue...
We introduce flows of branching processes with competition, which describe the evolution of general ...
We study a spatial branching model, where the underlying motion is d-dimensional (d≥1) Brownian moti...
We give a new, intuitive and relatively straightforward proof of a path large-deviations result for ...
AbstractWe give a new, intuitive and relatively straightforward proof of a path large-deviations res...
Consider a continuous time branching process, which is integer or real valued (in the latt...
76 pagesWe consider a system of particles which perform branching Brownian motion with negative drif...