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A basic class of two-type continuous-state branching processes in varying environments are constructed by solving the backward equation determining the cumulant semigroup. The parameters of the process are allowed to be c\`adl\`ag in time…

Probability · Mathematics 2025-02-06 Zenghu Li , Junyan Zhang

We construct two kinds of stochastic flows of discrete Galton-Watson branching processes. Some scaling limit theorems for the flows are proved, which lead to local and nonlocal branching superprocesses over the positive half line.

Probability · Mathematics 2012-04-06 Hui He , Rugang Ma

We consider a particle system in continuous time, discrete population, with spatial motion and nonlocal branching. The offspring's weights and their number may depend on the mother's weight. Our setting captures, for instance, the processes…

Probability · Mathematics 2012-10-12 Bertrand Cloez

This work provides a brief introduction to continuous-state branching processes (CB-processes) and continuous-state branching processes with immigration (CBI-processes) accessible to graduate students with reasonable background in…

Probability · Mathematics 2019-01-14 Zenghu Li

Branching processes pervade many models in statistical physics. We investigate the survival probability of a Galton-Watson branching process after a finite number of generations. We reveal the finite-size scaling law of the survival…

Statistical Mechanics · Physics 2015-11-26 Rosalba Garcia-Millan , Francesc Font-Clos , Alvaro Corral

The paper studies a class of critical Markov branching processes with infinite variance of the offspring distribution. The processes admit also an immigration component at the jump-points of a non-homogeneous Poisson process, assuming that…

Probability · Mathematics 2025-01-07 Kosto V. Mitov , Nikolay M. Yanev

Multivariate time series present many challenges, especially when they are high dimensional. The paper's focus is twofold. First, we address the subject of consistently estimating the autocovariance sequence; this is a sequence of matrices…

Statistics Theory · Mathematics 2015-06-03 Carsten Jentsch , Dimitris N. Politis

We derive some key extremal features for $k$th order Markov chains that can be used to understand how the process moves between an extreme state and the body of the process. The chains are studied given that there is an exceedance of a…

Statistics Theory · Mathematics 2023-01-27 Ioannis Papastathopoulos , Adrian Casey , Jonathan A. Tawn

We propose a class of non-Markov population models with continuous or discrete state space via a limiting procedure involving sequences of rescaled and randomly time-changed Galton--Watson processes. The class includes as specific cases the…

Probability · Mathematics 2021-01-12 Luisa Andreis , Federico Polito , Laura Sacerdote

A curious connection exists between the theory of optimal stopping for independent random variables, and branching processes. In particular, for the branching process $Z_n$ with offspring distribution $Y$, there exists a random variable $X$…

Probability · Mathematics 2007-05-23 David Assaf , Larry Goldstein , Ester Samuel-Cahn

Countable state Markov shifts are a natural generalization of the well-known subshifts of finite type. They are the subject of current research both for their own sake and as models for smooth dynamical systems. In this paper, we…

Dynamical Systems · Mathematics 2007-05-23 Mike M. Boyle , Jerome Buzzi , Ricardo Gomez

Consider a continuous-time binary branching process conditioned to have population size n at some time t, and with a chance p for recording each extinct individual in the process. Within the family tree of this process, we consider the…

Probability · Mathematics 2007-05-23 Lea Popovic

A family of continuous-state branching processes with immigration are constructed as the solution flow of a stochastic equation system driven by time-space noises. The family can be regarded as an inhomogeneous increasing path-valued…

Probability · Mathematics 2014-01-14 Zenghu Li

We consider the genealogical tree of a stationary continuous state branching process with immigration. For a sub-critical stable branching mechanism, we consider the genealogical tree of the extant population at some fixed time and prove…

Probability · Mathematics 2020-05-21 Romain Abraham , Jean-François Delmas , Hui He

In this paper, we investigate the asymptotic behavior of supercritical branching Markov processes $\{\mathbb{X}_t, t \ge0\}$ whose spatial motions are L\'evy processes with regularly varying tails. Recently, Ren et al. [Appl. Probab. 61…

Probability · Mathematics 2025-10-01 Runjia Luo , Yan-Xia Ren , Renming Song , Rui Zhang

We discuss metastable states in the mean-field version of the strong coupling BCS-model and study the evolution of a superconducting equilibrium state subjected to a dynamical semi-group with Lindblad generator in detailed balance w.r.t.…

Mathematical Physics · Physics 2009-11-07 Joris Lauwers , Andre Verbeure

We solve the problem of constructing an asymptotic global confidence region for the means and the covariance matrices of the reproduction distributions involved in a supercritical multitype branching process. Our approach is based on a…

Statistics Theory · Mathematics 2007-06-13 F. Maaouia , A. Touati

We classify the possible behaviors of a class of one-dimensional stochastic recurrent growth models. In our main result, we obtain nearly optimal bounds for the tail of hitting times of some compact sets. If the process is an aperiodic…

Probability · Mathematics 2016-04-08 Etienne Adam

In this paper we study the conditional limit theorems for critical continuous-state branching processes with branching mechanism $\psi(\lambda)=\lambda^{1+\alpha}L(1/\lambda)$ where $\alpha\in [0,1]$ and $L$ is slowly varying at $\infty$.…

Probability · Mathematics 2015-06-17 Yan-Xia Ren , Ting Yang , Guo-Huan Zhao

Skeletons of branching processes are defined as trees of lineages characterized by an appropriate signature of future reproduction success. In the supercritical case a natural choice is to look for the lineages that survive forever. In the…

Probability · Mathematics 2013-04-02 Serik Sagitov , Maria C. Serra