摘要
为了克服多维正态分布积分计算量过大的问题,引入多维正态分布积分的一种降维的变换形式,对变换后的积分运用蒙特卡洛以及拟蒙特卡洛算法进行计算求值.在此基础上,提出一种改进的方法,并做了相应的数值试验.
The computation of a multivariate normal probability is very difficult. This article describes a series of substitutions which reduce dimensions by transforming the m - variate integral into one over the ( m - 1 ) - dimensional hypercube. Monte Carlo and quasi - Monte Carlo methods are introduced to solve the problem. Then, an improved algorithm is presented and corresponding numerical experiments are conducted.
出处
《西安文理学院学报(自然科学版)》
2013年第4期29-32,共4页
Journal of Xi’an University(Natural Science Edition)
基金
青年科学基金资助项目(11201360)
关键词
多维正态分布
降维
蒙特卡洛
拟蒙特卡洛
multivariate normal probability
dimensionality reduction
Monte Carlo
Quasi -Monte Carlo