1) unbiassed importance sampling
无偏重要性抽样
2) importance sampling
重要性抽样
1.
This paper describes the difficulty of rare-event probability estimation using digital simulation method in the view of computation complexity, and focuses on the principles and construction methods of importance sampling plan.
重要性抽样法是一种最重要的提高抽样效率的方法,由于其适用范围广,容易实现,在通信网、航空航天、自动控制等系统的可靠性安全性仿真中得到广泛研究和应用。
2.
The undetected error probability of linear block codes for both error detection and correction is estimated with importance sampling.
研究用重要性抽样仿真方法估计线性分组码同时纠错和检错时的不可检错误概率。
3.
And the importance sampling technique is applied to improve the sampling efficiency.
进一步研究了采用重要性抽样技术提高抽样效率的问题。
3) sequential importance sampling
序贯重要性抽样
1.
In this paper, a new particle filter based on sequential importance sampling (SIS) is proposed for the on_line estimation of non_Gaussian nonlinear systems.
针对非线性、非高斯系统状态的在线估计问题,提出一种新的基于序贯重要性抽样的粒子滤波算法。
2.
In this paper,a new particle filter based on sequential importance sampling (SIS) is proposed for the on-line estimation problem of non-Gauss nonlinear systems.
针对非线性、非高斯系统状态的在线估计问题 ,本文提出一种新的基于序贯重要性抽样的粒子滤波算法 。
4) important sampling method
重要性抽样法
1.
The results show:the important sampling method can greatly imporve calculation s efficiency.
提出了用重要性抽样的ＭｏｎｔｅＣａｒｌｏ模拟法计算管节点的疲劳失效概率，并与直接抽样的ＭｏｎｔｅＣａｒｌｏ法进行了比较，结果表明：用重要性抽样法计算可大幅度地提高计算效
5) unbiased sampling
无偏抽样
1.
To deal with the scalable and fast unbiased sampling problems in unstructured P2P systems, a sampling method based on multi-peer adaptive random walk (SMARW) is proposed.
针对非结构化P2P系统中可扩展的快速无偏抽样问题,提出了一种基于多个peer自适应随机行走的抽样方法SMARW。
6) importance sampling
重要抽样
1.
Study on an importance sampling method of structrural dynamic reliability;
结构动力可靠度的重要抽样法的探讨
2.
Fuzzy robustness analysis based on importance sampling and neural network;
基于重要抽样法和神经网络的模糊鲁棒性分析
补充资料：无偏
1.不偏颇。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条