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Branching processes in random environments with thresholds [PDF]

open access: yesAdvances in Applied Probability, 2023
AbstractMotivated by applications to COVID dynamics, we describe a model of a branching process in a random environment $\{Z_n\}$ whose characteristics change when crossing upper and lower thresholds. This introduces a cyclical path behavior involving periods of increase and decrease leading to supercritical and subcritical regimes.
Giacomo Francisci, Anand N. Vidyashankar
openaire   +5 more sources

Large Deviations for Processes in Random Environments with Jumps

open access: yesElectronic Journal of Probability, 2011
A deterministic walk in a random environment can be understood as a general random process with finite-range dependence that starts repeating a loop once it reaches a site it has visited before. Such process lacks the Markov property. We study the exponential decay of the probabilities that the walk will reach sites located far away from the origin. We
Ivan Matic
exaly   +4 more sources

The Growth of Supercritical Branching Processes with Random Environments

open access: yesAnnals of Probability, 1973
For the supercritical branching process with random environments, the rate of growth of the generation size $Z_n$ is studied in the marginal distribution. It is shown that unless the environmental process yields a constant conditional expectation $E(Z_1 \mid \zeta)$, the asymptotic distribution of $$(Z_n \exp(-nE_\zeta(\log E(Z_1 \mid \zeta))))^{n ...
Niels Keiding
exaly   +4 more sources

Comparison Results for Branching Processes in Random Environments [PDF]

open access: yesJournal of Applied Probability, 2007
In this note we consider branching processes whose behavior depends on a dynamic random environment, in the sense that we assume that the offspring distributions of individuals are parametrized, over time, by the realizations of a process describing the environmental evolution.
Pellerey, Franco
openaire   +6 more sources

Editorial for Special Issue “Fractional Dynamics: Theory and Applications”

open access: yesFractal and Fractional, 2022
The investigation of fluctuations and random processes in complex systems and random environments has been attracting much attention for years [...]
Trifce Sandev
doaj   +1 more source

Zero-Range Process in Random Environment [PDF]

open access: yes, 2021
We survey our recent articles dealing with one dimensional attractive zero range processes moving under site disorder. We suppose that the underlying random walks are biased to the right and so hyperbolic scaling is expected. Under the conditions of our model the process admits a maximal invariant measure.
Bahadoran, Christophe   +3 more
openaire   +3 more sources

Fractal Dimensions of Random Trees [PDF]

open access: yesThe Egyptian Statistical Journal, 1994
Our goal in this paper is to determine whether the fractal dimensions (FD) of random trees is finite. Two types of random trees are considered. We first consider spherically symmetric random trees in which all vertices at level n have degree 3 with ...
Mokhtar Konsowa
doaj   +1 more source

Strong Dispersal Limitation of Microbial Communities at Shackleton Glacier, Antarctica

open access: yesmSystems, 2023
Microbial communities can be structured by both deterministic and stochastic processes, but the relative importance of these processes remains unknown. The ambiguity partly arises from an inability to disentangle soil microbial processes from confounding
Nathan P. Lemoine   +8 more
doaj   +1 more source

Random Walks of a Cell With Correlated Speed and Persistence Influenced by the Extracellular Topography

open access: yesFrontiers in Physics, 2021
Cell migration through extracellular matrices is critical to many physiological processes, such as tissue development, immunological response and cancer metastasis.
Kejie Chen, Kai-Rong Qin
doaj   +1 more source

Branching Processes in a Lévy Random Environment [PDF]

open access: yesActa Applicandae Mathematicae, 2017
In this paper, we introduce branching processes in a Lévy random environment. In order to define this class of processes, we study a particular class of non-negative stochastic differential equations driven by Brownian motions and Poisson random measures which are mutually independent.
Sandra Palau, Juan Carlos Pardo
openaire   +1 more source

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