A fluid approach to total-progeny-dependent birth-and-death processes

IF 0.5 4区 数学 Q4 STATISTICS & PROBABILITY
S. Hautphenne, Minyuan Li
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引用次数: 1

Abstract

Abstract 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 continuous-time version of these processes, called total-progeny-dependent birth-and-death processes, and study some of their properties through the analysis of their deterministic (fluid) approximation. These properties include the maximum population size, the total progeny size at extinction, the time to reach the maximum population size, and the time until extinction. As the fluid approximation does not allow us to determine the time until extinction directly, we propose several methods to complement this approach. We also use the deterministic approach to study the behavior of the processes as we increase the magnitude of the individual’s birth rate.
对完全依赖子代的生与死过程的一种流体方法
摘要我们引入了一类分支过程,其中在给定时间的繁殖或寿命分布取决于在该时间之前在种群中出生的个体的累计总数。我们专注于这些过程的连续时间版本,称为全子代依赖性出生和死亡过程,并通过分析其确定性(流体)近似来研究其一些性质。这些特性包括最大种群规模、灭绝时的总后代规模、达到最大种群规模的时间以及灭绝前的时间。由于流体近似不允许我们直接确定直到消光的时间,我们提出了几种方法来补充这种方法。我们还使用确定性方法来研究当我们增加个体出生率的幅度时过程的行为。
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来源期刊
Stochastic Models
Stochastic Models 数学-统计学与概率论
CiteScore
1.30
自引率
14.30%
发文量
42
审稿时长
>12 weeks
期刊介绍: Stochastic Models publishes papers discussing the theory and applications of probability as they arise in the modeling of phenomena in the natural sciences, social sciences and technology. It presents novel contributions to mathematical theory, using structural, analytical, algorithmic or experimental approaches. In an interdisciplinary context, it discusses practical applications of stochastic models to diverse areas such as biology, computer science, telecommunications modeling, inventories and dams, reliability, storage, queueing theory, mathematical finance and operations research.
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