Search results for "60K37"

showing 5 items of 5 documents

M/M/1 queue in two alternating environments and its heavy traffic approximation

2018

We investigate an M/M/1 queue operating in two switching environments, where the switch is governed by a two-state time-homogeneous Markov chain. This model allows to describe a system that is subject to regular operating phases alternating with anomalous working phases or random repairing periods. We first obtain the steady-state distribution of the process in terms of a generalized mixture of two geometric distributions. In the special case when only one kind of switch is allowed, we analyze the transient distribution, and investigate the busy period problem. The analysis is also performed by means of a suitable heavy-traffic approximation which leads to a continuous random process. Its d…

Partial differential equationMarkov chainDistribution (number theory)Stochastic processApplied MathematicsProbability (math.PR)010102 general mathematicsMathematical analysisM/M/1 queue60K25 60K37 60J60 60J70Heavy traffic approximation01 natural sciencesSteady-state distribution010104 statistics & probabilityDiffusion approximationFOS: MathematicsAlternating Wiener process0101 mathematicsFirst-hitting-time modelSteady-state distribution; First-passage time; Diffusion approximation; Alternating Wiener processQueueMathematics - ProbabilityAnalysisFirst-passage timeMathematicsJournal of Mathematical Analysis and Applications
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Random walks in dynamic random environments and ancestry under local population regulation

2015

We consider random walks in dynamic random environments, with an environment generated by the time-reversal of a Markov process from the oriented percolation universality class. If the influence of the random medium on the walk is small in space-time regions where the medium is typical, we obtain a law of large numbers and an averaged central limit theorem for the walk via a regeneration construction under suitable coarse-graining. Such random walks occur naturally as spatial embeddings of ancestral lineages in spatial population models with local regulation. We verify that our assumptions hold for logistic branching random walks when the population density is sufficiently high.

Statistics and Probability82B43Markov processRandom walklogistic branching random walk01 natural sciences60K37 60J10 60K35 82B43010104 statistics & probabilitysymbols.namesakeMathematics::ProbabilityFOS: MathematicsLocal populationStatistical physics0101 mathematicsoriented percolationCentral limit theoremMathematicsdynamical random environmentProbability (math.PR)010102 general mathematicsRandom mediaRenormalization groupsupercritical clusterRandom walk60K37Population model60K35central limit theorem in random environmentPercolationsymbols60J10Statistics Probability and UncertaintyMathematics - ProbabilityElectronic Journal of Probability
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Directed random walk on the backbone of an oriented percolation cluster

2012

We consider a directed random walk on the backbone of the infinite cluster generated by supercritical oriented percolation, or equivalently the space-time embedding of the ``ancestral lineage'' of an individual in the stationary discrete-time contact process. We prove a law of large numbers and an annealed central limit theorem (i.e., averaged over the realisations of the cluster) using a regeneration approach. Furthermore, we obtain a quenched central limit theorem (i.e.\ for almost any realisation of the cluster) via an analysis of joint renewals of two independent walks on the same cluster.

Statistics and ProbabilityDiscrete mathematicsdynamical random environment82B43Probability (math.PR)Random walkRandom walksupercritical clusterddc:60K3760K37 60J10 82B43 60K35Mathematics::Probability60K35Percolationcentral limit theorem in random environmentContact process (mathematics)Cluster (physics)FOS: MathematicsEmbedding60J10Statistics Probability and UncertaintyMathematics - Probabilityoriented percolationMathematicsCentral limit theorem
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A nonstationary cylinder-based model describing group dispersal in a fragmented habitat

2014

International audience; A doubly nonstationary cylinder-based model is built to describe the dispersal of a population from a point source. In this model, each cylinder represents a fraction of the population, i.e., a group. Two contexts are considered: The dispersal can occur in a uniform habitat or in a fragmented habitat described by a conditional Boolean model. After the construction of the models, we investigate their properties: the first and second order moments, the probability that the population vanishes, and the distribution of the spatial extent of the population.

Statistics and ProbabilityPoint sourcePopulation92D25Spatial extentFragmentationStatisticsRandom cylinder92D30CylinderQuantitative Biology::Populations and EvolutionObject-based model[INFO]Computer Science [cs]Statistical physics60D05[MATH]Mathematics [math]educationMathematics60G60ta112education.field_of_studyBoolean modelApplied MathematicsFragmentation (computing)Boolean modelDispersal60K37HabitatModeling and Simulation60K9992D40Biological dispersalPopulation vanishing60G55Distribution (differential geometry)
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A PHASE TRANSITION FOR LARGE VALUES OF BIFURCATING AUTOREGRESSIVE MODELS

2019

We describe the asymptotic behavior of the number $$Z_n[a_n,\infty )$$ of individuals with a large value in a stable bifurcating autoregressive process, where $$a_n\rightarrow \infty $$ . The study of the associated first moment is equivalent to the annealed large deviation problem of an autoregressive process in a random environment. The trajectorial behavior of $$Z_n[a_n,\infty )$$ is obtained by the study of the ancestral paths corresponding to the large deviation event together with the environment of the process. This study of large deviations of autoregressive processes in random environment is of independent interest and achieved first. The estimates for bifurcating autoregressive pr…

Statistics and Probability[MATH.MATH-PR] Mathematics [math]/Probability [math.PR]Phase transitionrandom environmentGeneral Mathematicsmedia_common.quotation_subjectmoderate deviationslimit-theoremsmarkov-chainsStatistics::Other StatisticsBranching processdeviation inequalities92D2501 natural sciencesAsymmetry010104 statistics & probability[MATH.MATH-ST]Mathematics [math]/Statistics [math.ST]Convergence (routing)[MATH.MATH-CO]Mathematics [math]/Combinatorics [math.CO]Applied mathematics60C05[MATH]Mathematics [math]0101 mathematicsautoregressive process60J20lawMathematicsBranching processmedia_commonEvent (probability theory)parametersconvergenceMarkov chain010102 general mathematics[MATH.MATH-CO] Mathematics [math]/Combinatorics [math.CO][MATH.MATH-PR]Mathematics [math]/Probability [math.PR]Large deviationslarge deviations Mathematics Subject Classification (2010): 60J8060K37Autoregressive modelcellsLarge deviations theoryStatistics Probability and Uncertaintyasymmetry60F10
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