Results 51 to 60 of about 218,041 (382)

On the Survival Probability of a Branching Process in a Random Environment

open access: yesAdvances in Applied Probability, 1997
We derive a variety of estimates for the survival probability of a branching process in a random environment. There are three cases of interest, the critical, weakly and strongly subcritical. The large deviation result, first obtained by Dekking for the class of finite state space i.i.d. environments, is shown to hold in more general environments.
DSouza, J, Hambly, B
openaire   +3 more sources

The stability of conditional Markov processes and Markov chains in random environments [PDF]

open access: yes, 2008
We consider a discrete time hidden Markov model where the signal is a stationary Markov chain. When conditioned on the observations, the signal is a Markov chain in a random environment under the conditional measure.
R. Handel
semanticscholar   +1 more source

Logarithmic speeds for one-dimensional perturbed random walk in random environment

open access: yes, 2007
We study the random walk in random environment on Z+ = f0; 1; 2; : : :g, where the environment is subject to a vanishing (random) perturbation. The two particular cases that we consider are: (i) random walk in random environment perturbed from Sinai's ...
Menshikov, MV   +7 more
core   +1 more source

On Convergence of Population Processes in Random Environments to the Stochastic Heat Equation with Colored Noise

open access: yes, 2003
We consider the stochastic heat equation with a multiplicative colored noise term on the real space for dimensions greater or equal to 1. First, we prove convergence of a branching particle system in a random environment to this stochastic heat equation ...
A. Sturm
semanticscholar   +1 more source

Stochastic characterization of navigation strategies in an automated variant of the Barnes maze

open access: yeseLife
Animals can use a repertoire of strategies to navigate in an environment, and it remains an intriguing question how these strategies are selected based on the nature and familiarity of environments.
Ju-Young Lee   +2 more
doaj   +1 more source

β-Glycosphingolipids as Mediators of Both Inflammation and Immune Tolerance: A Manifestation of Randomness in Biological Systems

open access: yesFrontiers in Immunology, 2019
Plasticity in biological systems is attributed to the combination of multiple parameters which determine function. These include genotypic, phenotypic, and environmental factors.
Yaron Ilan
doaj   +1 more source

Predictability of parental ultraviolet-B environment shapes the growth strategies of clonal Glechoma longituba

open access: yesFrontiers in Plant Science, 2022
Although there is an increasing debate about ecological consequences of environmental predictability for plant phenotype and fitness, the effect of predictability of parental environments on the offspring is still indefinite.
Yuehan Guo   +6 more
doaj   +1 more source

A quenched functional central limit theorem for random walks in random environments under (T)γ

open access: yes, 2016
We prove a quenched central limit theorem for random walks in i.i.d. weakly elliptic random environments in the ballistic regime. Such theorems have been proved recently under the assumption of large finite moments for the regeneration times.
Bouchet, Élodie   +2 more
core   +1 more source

Stochastic transient analysis of thermal stresses in solids by explicit time-domain method

open access: yesTheoretical and Applied Mechanics Letters, 2019
Stochastic heat conduction and thermal stress analysis of structures has received considerable attention in recent years. The propagation of uncertain thermal environments will lead to stochastic variations in temperature fields and thermal stresses ...
Houzuo Guo, Cheng Su, Jianhua Xian
doaj   +1 more source

Random walk with barycentric self-interaction

open access: yes, 2010
We study the asymptotic behaviour of a $d$-dimensional self-interacting random walk $X_n$ ($n = 1,2,...$) which is repelled or attracted by the centre of mass $G_n = n^{-1} \sum_{i=1}^n X_i$ of its previous trajectory. The walk's trajectory $(X_1,...,X_n)
Volkov, S.   +13 more
core   +1 more source

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