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Consider the population model with infinite size associated to subcritical continuous-state branching processes (CSBP). Individuals reproduce independently according to the same subcritical offspring distribution. We study the long-term…

Probability · Mathematics 2020-12-08 Clément Foucart , Martin Möhle

We consider population-size-dependent branching processes (PSDBPs) which eventually become extinct with probability one. For these processes, we derive maximum likelihood estimators for the mean number of offspring born to individuals when…

Statistics Theory · Mathematics 2020-09-22 Peter Braunsteins , Sophie Hautphenne , Carmen Minuesa

We code Galton-Walton trees by a continuous height process, in order to give a precise meaning to the convergence of forests of trees. This allows us to establish the convergence of the forest of genealogical trees of the branching process…

Probability · Mathematics 2020-03-12 Ibrahima Drame

Markov branching systems form a fundamental class of stochastic models that are extensively applied in biology, physics, finance, and other domains. These systems are distinguished by their continuous-time evolution and inherent branching…

Stochastic solutions provide new rigorous results for nonlinear PDE's and, through its local non-grid nature, are a natural tool for parallel computation. There are two different approaches for the construction of stochastic solutions:…

Probability · Mathematics 2017-11-02 R. Vilela Mendes

We consider a branching stable process with positive jumps, i.e. a continuous-time branching process in which the particles evolve independently as stable L{\'e}vy processes with positive jumps. Assuming the branching mechanism is critical…

Probability · Mathematics 2021-09-13 Christophe Profeta

We define the height process for super-critical continuous state branching processes with quadratic branching mechanism. It appears as a projective limit of Brownian motions with positive drift reflected at 0 and a>0 as a goes to infinity.…

Probability · Mathematics 2007-05-23 Jean-François Delmas

The problem of conditioning a continuous-state branching process with quadratic competition (logistic CB process) on non-extinction is investigated. We first establish that non-extinction is equivalent to the total progeny of the population…

Probability · Mathematics 2024-08-28 Clément Foucart , Víctor Rivero , Anita Winter

We prove that the extremal process of branching Brownian motion, in the limit of large times, converges weakly to a cluster point process. The limiting process is a (randomly shifted) Poisson cluster process, where the positions of the…

Probability · Mathematics 2011-03-14 Louis-Pierre Arguin , Anton Bovier , Nicola Kistler

Motivated by the stochastic Lotka-Volterra model, we introduce discrete-state interacting multitype branching processes. We show that they can be obtained as the sum of a multidimensional random walk with a Lamperti-type change proportional…

Probability · Mathematics 2022-11-28 Maria Clara Fittipaldi , Sandra Palau

We provide a path-wise "backbone" decomposition for supercritical superprocesses with non-local branching. Our result complements a related result obtained for super-critical superprocesses without non-local branching in [1]. Our approach…

Probability · Mathematics 2014-09-12 A. Murillo-Salas , J. L. Pérez

We construct a continuous state branching process with immigration (CBI) whose immigration depends on the CBI itself and we recover a continuous state branching process (CB). This provides a dual construction of the pruning at nodes of CB…

Probability · Mathematics 2009-02-13 Romain Abraham , Jean-Francois Delmas

In this paper we consider the unique nonnegative solution to the following generalized version of the stochastic differential equation for a continuous-state branching process. \beqnn X_t \ar=\ar x+\int_0^t\gamma_0(X_s)\dd…

Probability · Mathematics 2018-10-18 Pei-Sen Li , Xu Yang , Xiaowen Zhou

In order to numerically solve high-dimensional nonlinear PDEs and alleviate the curse of dimensionality, a stochastic particle method (SPM) has been proposed to capture the relevant feature of the solution through the adaptive evolution of…

Numerical Analysis · Mathematics 2026-03-16 Jingyang Huang , Zhengyang Lei , Sihong Shao

We study a generalization of the Brownian bridge as a stochastic process that models the position and velocity of inertial particles between the two end-points of a time interval. The particles experience random acceleration and are assumed…

Systems and Control · Computer Science 2014-07-15 Yongxin Chen , Tryphon Georgiou

We obtain existence and uniqueness in L^p, p>1 of the solutions of a backward stochastic differential equations (BSDEs for short) driven by a marked point process, on a bounded interval. We show that the solution of the BSDE can be…

Probability · Mathematics 2016-12-04 Fulvia Confortola

We consider a branching Brownian motion with linear drift in which particles are killed on exiting the interval (0,K) and study the evolution of the process on the event of survival as the width of the interval shrinks to the critical value…

Probability · Mathematics 2012-12-07 Simon Harris , Marion Hesse , Andreas E. Kyprianou

We consider continuous state branching processes that are perturbed by a Brownian motion. These processes are constructed as the unique strong solution of a stochastic differential equation. The long-term extinction and explosion behaviours…

Probability · Mathematics 2016-06-17 Sandra Palau , Juan Carlos Pardo

Following the pivotal work of Sevastyanov, who considered branching processes with homogeneous Poisson immigration, much has been done to understand the behaviour of such processes under different types of branching and immigration…

Probability · Mathematics 2025-10-14 Martin Minchev , Maroussia Slavtchova-Bojkova

Population-size dependent branching processes (PSDBP) and controlled branching processes (CBP) are two classes of branching processes widely used to model biological populations that exhibit logistic growth. In this paper we develop…

Probability · Mathematics 2023-08-03 Peter Braunsteins , Sophie Hautphenne , James Kerlidis