遗传学中的随机逼近方法

26th International Conference on Information Technology Interfaces, 2004. Pub Date : 2004-06-07 DOI:10.1109/ITI.2004.242820

G. Orman

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引用次数: 3

摘要

众所周知，布朗运动的精确定义包括对路径空间的测量，这样就有可能把布朗运动建立在坚实的数学基础上。本文讨论了随机微分方程渐近理论在数学遗传学中的一个应用。布朗运动作为一个重标随机游走的极限的构造可以推广到一类马尔可夫链

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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On stochastic approximation methods in genetics

As it is known a precise definition of the Brownian motion involves a measure on the path space, such that it is possible to put the Brownian motion on a firm mathematical foundation. In this paper we refer to an application of asymptotic theory of stochastic differential equations in mathematical genetics. The construction of the Brownian motion as a limit of a rescaled random walk can be generalized to a class of Markov chains

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26th International Conference on Information Technology Interfaces, 2004.

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