首页> 外文期刊>Numerical analysis and applications >Minimizing the Variance of a Mathematical Expectation Estimate for a Diffusion Process Functional Based on a Parametric Transformation of a Parabolic Boundary Value Problem
【24h】

Minimizing the Variance of a Mathematical Expectation Estimate for a Diffusion Process Functional Based on a Parametric Transformation of a Parabolic Boundary Value Problem

机译:基于抛物型边值问题的参数变换,使扩散过程函数的数学期望估计值的方差最小

获取原文
获取原文并翻译 | 示例
           

摘要

This paper deals with finding ways of reducing the variance of a mathematical expectation estimate for the functional of a diffusion process moving in a domain with an absorbing boundary. The estimate of mathematical expectation of the functional is obtained based on a numerical solution of stochastic differential equations (SDEs) by using the Euler method. A formula of the limiting variance is derived with decreasing integration step in the Euler method. A method of reducing the variance value of the estimate based on transformation of the parabolic boundary value problem corresponding to the diffusion process is proposed. Some numerical results are presented.
机译:本文探讨了减少数学期望估计值方差的方法,这些期望值对于具有吸收边界的域中移动的扩散过程的功能而言。使用Euler方法,基于随机微分方程(SDE)的数值解,可以获得对该函数的数学期望的估计。在欧拉方法中,随着积分步长的减小,得出了极限方差的公式。提出了一种基于与扩散过程相对应的抛物线型边值问题的变换来减小估计方差值的方法。给出了一些数值结果。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号