Large deviations of a random walk model with emerging territories.

Large deviations of a random walk model with emerging territories.
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新兴地区随机游走模型的较大偏差

DOI:
10.1103/physreve.102.062141
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发表时间:
2020
期刊:
Physical review. E
影响因子:
--
通讯作者:
A.K. Hartmann
A.K. Hartmann
中科院分区:
--
文献类型:
--
作者:
H. Schawe;A.K. Hartmann

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我们研究了一种基于代理的动物模型,该模型在一个维度上标记其领地并躲避敌对领地,并考虑所得领地大小的分布。特别是,我们使用复杂的抽样方法来确定大部分区域的大小,包括非典型的小型和大型配置,其发生的概率小于。我们找到了大偏差原理有效性的提示、分布右尾的速率函数的形状以及对非典型实现结构的洞察。
We study an agent-based model of animals marking their territory and evading adversarial territory in one dimension with respect to the distribution of the size of the resulting territories. In particular, we use sophisticated sampling methods to determine it over a large part of territory sizes, including atypically small and large configurations, which occur with probability of less than. We find hints for the validity of a large deviation principle, the shape of the rate function for the right tail of the distribution, and insight into the structure of atypical realizations.
DOI: --
发表时间: 2016
期刊:
影响因子: --
作者:
Sarah Eichmann
通讯作者: Sarah Eichmann
生态学和系统学年度评论 1972@@@生态学和系统学年度评论第 3 卷,1972
DOI: --
发表时间: 1973
期刊:
影响因子: --
作者:
R. Johnston;P. W. Frank;C. Michener
通讯作者: C. Michener