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A class of branching processes in varying environments is exhibited which become extinct almost surely even though the means M_n grow fast enough so that sum M_n^{-1} is finite. In fact, such a process is constructed for every offspring…

Probability · Mathematics 2007-05-23 Robin Pemantle

It is well understood that a supercritical superprocess is equal in law to a discrete Markov branching process whose genealogy is dressed in a Poissonian way with immigration which initiates subcritial superprocesses. The Markov branching…

Probability · Mathematics 2020-11-25 Dorottya Fekete , Joaquin Fontbona , Andreas E. Kyprianou

Ecological and evolutionary processes show various population dynamics depending on internal interactions and environmental changes. While crucial in predicting biological processes, discovering general relations for such nonlinear dynamics…

Biological Physics · Physics 2022-06-23 Kyosuke Adachi , Ryosuke Iritani , Ryusuke Hamazaki

A branching process in a Markovian environment consists of an irreducible Markov chain on a set of "environments" together with an offspring distribution for each environment. At each time step the chain transitions to a new random…

Probability · Mathematics 2021-06-22 Lila Greco , Lionel Levine

Representations of population models in terms of countable systems of particles are constructed, in which each particle has a `type', typically recording both spatial position and genetic type, and a level. For finite intensity models, the…

Probability · Mathematics 2018-06-05 Alison M. Etheridge , Thomas G. Kurtz

We introduce a class of branching processes in which the reproduction or lifetime distribution at a given time depends on the total cumulative number of individuals who have been born in the population until that time. We focus on a…

Probability · Mathematics 2021-12-03 Sophie Hautphenne , Minyuan Li

The paper has four goals. First, we want to generalize the classical concept of the branching property so that it becomes applicable for historical and genealogical processes (using the coding of genealogies by ($V$-marked) ultrametric…

Probability · Mathematics 2020-05-06 Andreas Greven , Thomas Rippl , Patric Karl Glöde

For general thinning procedures, its inverse operation, the condensing, is studied and a link to integration-by-parts formulas is established. This extends the recent results on that link for independent thinnings of point processes to…

Probability · Mathematics 2017-04-26 Mathias Rafler

In this paper we revisit and adapt to viral evolution an approach based on the theory of branching process advanced by Demetrius, Schuster and Sigmund ("Polynucleotide evolution and branching processes", Bull. Math. Biol. 46 (1985)…

Populations and Evolution · Quantitative Biology 2014-02-11 Fernando Antoneli , Francisco Bosco , Diogo Castro , Luiz Mario Janini

Motivated as a null model for comparison with data, we study the following model for a phylogenetic tree on $n$ extant species. The origin of the clade is a random time in the past, whose (improper) distribution is uniform on $(0,\infty)$.…

Probability · Mathematics 2007-05-23 David J. Aldous , Lea Popovic

We show uniqueness of the spine of a Fleming-Viot particle system under minimal assumptions on the driving process. If the driving process is a continuous time Markov process on a finite space, we show that asymptotically, when the number…

Probability · Mathematics 2015-07-27 Mariusz Bieniek , Krzysztof Burdzy

We investigate certain properties of degenerate Feller processes that are killed when exiting a relatively compact set. Our main result provides general conditions ensuring that such a process possesses a (possibly non unique) quasi…

Probability · Mathematics 2024-08-21 Michel Benaïm , Nicolas Champagnat , William Oçafrain , Denis Villemonais

Subcritical population processes are attracted to extinction and do not have non-trivial stationary distributions, which prompts the study of quasi-stationary distributions (QSDs) instead. In contrast to what generally happens for…

Probability · Mathematics 2026-02-12 Pablo Groisman , Leonardo T. Rolla , Célio Terra

We introduce a method for deterministic decoupling of global features and show its applicability to improve data analysis performance, as well as to open new venues for feature transfer. We propose a new formalism that is based on defining…

Machine Learning · Computer Science 2022-07-06 Eduardo Martinez-Enriquez , Maria del Mar Gonzalez , Javier Portilla

In this paper, we consider time-inhomogeneous branching processes and time-inhomogeneous birth-and-death processes, in which the offspring distribution and birth and death rates (respectively) vary in time. A classical result of branching…

Probability · Mathematics 2017-03-02 Nicholas Bhattacharya , Mark Perlman

Hamiltonian systems with a mixed phase space typically exhibit an algebraic decay of correlations and of Poincare' recurrences, with numerical experiments over finite times showing system-dependent power-law exponents. We conjecture the…

Chaotic Dynamics · Physics 2008-10-06 Giampaolo Cristadoro , Roland Ketzmerick

Healthy and sick individuals (A and B particles) diffuse independently with diffusion constants D_A and D_B. Sick individuals upon encounter infect healthy ones (at rate k), but may also spontaneously recover (at rate 1/\tau). The…

Statistical Mechanics · Physics 2015-06-25 F. van Wijland , K. Oerding , H. J. Hilhorst

We study the evolution of a particle system whose genealogy is given by a supercritical continuous time Galton--Watson tree. The particles move independently according to a Markov process and when a branching event occurs, the offspring…

Probability · Mathematics 2012-02-20 Vincent Bansaye , Jean-François Delmas , Laurence Marsalle , Viet Chi Tran

We investigate branching processes in nearly degenerate varying environment, where the offspring distribution converges to the degenerate distribution at 1. Such processes die out almost surely, therefore, we condition on non-extinction or…

Probability · Mathematics 2024-12-05 Peter Kevei , Kata Kubatovics

A class of stochastic processes, called "weak Dirichlet processes", is introduced and its properties are investigated in detail. This class is much larger than the class of Dirichlet processes. It is closed under C^1$-transformations and…

Probability · Mathematics 2007-05-23 Francois Coquet , Adam Jakubowski , Jean Memin , Leszek Slominski
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