Achieving Moment Closure through Cumulant Neglect

T. Matis, I. Guardiola
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引用次数: 12

Abstract

In this article, we introduce the package Moment Closure, which may be used to generate closure differential equations and closure approximations of the cumulants (moments) of a nonlinear stochastic compartmental model with Markov transitions. Specifically, this package defines the pair of functions MomentClosureSystem and MomentClosurePlots that achieves moment closure through the neglect of high-order cumulants. We demonstrate the application of these functions through the analysis of several test models. In select cases, the resulting cumulant approximations are compared across neglect levels and to exact answers.
通过累积忽视实现瞬间封闭
在本文中,我们引入了包矩闭包,它可以用来生成具有马尔可夫转换的非线性随机隔室模型的累积量(矩)的闭包微分方程和闭包近似。具体来说,这个包定义了一对函数MomentClosureSystem和MomentClosurePlots,它们通过忽略高阶累积量来实现矩闭。通过对几个测试模型的分析,说明了这些函数的应用。在选定的情况下,所得到的累积近似值在忽略级别和精确答案之间进行比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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