Latin hypercube sampling (LHS) uses a stratified sampling scheme to improve on the coverage of the k-dimensional input space for such computer models. This means that a single sample will provide useful informa
拉丁超立方体抽样Latin hypercube sampling说明[转] LifeBug:03.随机变量和3F(PDF、CDF、PMF)
. The sampling method technique used in Latin hypercube is sampling without any replacement. In a sense, the number of stratifications done by the sequence is equal to the number of iterations would be done on the sample chosen. For example, in an input distribution with 5 stratifications, ...
立即体验 拉丁超立方采样(Latin Hypercube Sampling, LHS)是一种统计采样技术,用于生成一组样本点,这些样本点在参数空间中均匀分布,并且满足每个维度只有一个样本点落在该维度的取值范围内。LHS常用于参数优化和模型验证等领域。在Python中,有几种常用的包可以进行拉丁超立方采样,下面介绍两种常用的方法。1. 使用pyDOE...
拉丁超立方采样及蒙特卡洛模拟简介如下：拉丁超立方采样: 定义：拉丁超立方采样是蒙特卡洛模拟中的一种高级抽样方法。 特点：它在随机抽样流程中引入了分层、优化和随机性控制，使得采样更加均匀。 优势：有效减少了结果的随机偏差，即使在处理复杂分布时，也能确保每个区域的样本分布均衡。这有助于捕捉到那些...
探索未知的科学殿堂，拉丁超立方采样（Latin Hypercube Sampling, LHS）与蒙特卡洛模拟如同夜空中的璀璨星辰，照亮了处理不确定性问题的迷雾。蒙特卡洛，这个名字本身就蕴含着一种随机的魔力，它通过海量的模拟实验，为我们揭示概率世界的奥秘，哪怕是看似简单的抛硬币游戏，也能借此估算出五次投掷中出现一次...
I'm trying to run an analysis, in which my variables are sampled with the latin hypercube function lhdesign. I'd like to stop my simulation when a stopping criteria is satisfied, therefore I'd like also to sample only the necessary points instead of preparing all the combinations before. ...
(2019) Gan, Valdez. Metamodeling for Variable Annuities. This is sampling utility implementing Latin hypercube sampling from multivariate normal, uniform & empirical distribution. Correlation among variables can be sprecified.
拉丁超立方采样是一种特殊的采样方法，用于改进蒙特卡洛模拟中的随机抽样。它通过将样本空间分层，然后在每层内随机抽样，最后将样本打乱顺序，得到结果。相比于随机抽样，拉丁超立方采样在复杂分布场景下的效率更高，能够更均匀地覆盖样本空间，尤其是在正态分布等复杂分布的情况下。拉丁超立方采样的主要优点...
(2013). Latin Hypercube Sampling. In: Dubitzky, W., Wolkenhauer, O., Cho, KH., Yokota, H. (eds) Encyclopedia of Systems Biology. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-9863-7_100756 Download citation .RIS .ENW .BIB DOIhttps://doi.org/10.1007/978-1-4419-...