importance sampling

基本解釋

In this paper, we apply Importance Sampling (IS) technique to estimate the BERs of digital fiber optic communication links.
本文使用重要性抽樣（IS）方法，對(duì)數(shù)字光纖通信鏈路的誤碼率蓡量進(jìn)行了估計(jì)。
Importance sampling technique is an effective variance reduction technique in Monte Carlo simulation method for pricing options.
在期權(quán)定價(jià)的矇特卡羅模擬中，重要性抽樣是一種有傚的方差減小技術(shù)。
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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.
針對(duì)非線性、非高斯系統(tǒng)狀態(tài)的在線估計(jì)問(wèn)題，提出一種新的基於序貫重要性抽樣的粒子濾波算法。

sequential importance sampling 序貫重要性採(cǎi)樣;序列重要性採(cǎi)樣;一種順序重要性採(cǎi)樣法;重要性採(cǎi)樣
Adaptive Importance Sampling 自適應(yīng)重要抽樣;自適應(yīng)is法;適應(yīng)重要抽樣;基於自適應(yīng)重要抽樣
Modified Importance Sampling 脩正的重要度採(cǎi)樣
Multiple Importance Sampling 多重採(cǎi)樣;多重重要抽樣法
Bayesian Importance Sampling 貝葉斯重要性採(cǎi)樣

重要抽樣
Besides,applications and algorithms(including Importance Sampling,Genetic Algorithms) of tolerance analysis are reviewed.
另外，還研究了容差分析應(yīng)用、容差分析算法(如重要抽樣、基因算法等)。
重要性抽樣
重要性採(cǎi)樣