On stochastic approximation methods in genetics

被引：0
|
作者：
Orman, GV [1 ]
机构：
[1] Transilvania Univ Brasov, Dept Math, Brasov 2200, Romania
来源：
ITI 2004: PROCEEDINGS OF THE 26TH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY INTERFACES | 2004年
关键词：
Brownian motion; stochastic differential equation; Markov chain; transition probability; binomial distribution;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：47 / 52
页数：6
相关论文
共 50 条
12345