简介:拉丁超立方采样(Latin Hypercube Sampling, LHS)是一种常用的统计采样技术,主要用于参数优化和模型验证。本文将介绍两种常用的Python调包来进行拉丁超立方采样:`pyDOE2`和`scipy`。 千帆应用开发平台“智能体Pro”全新上线 限时免费体验 面向慢思考场景,支持低代码配置的方式创建“智能体Pro
Latin hypercube sampling is a stratified sampling technique that produces random numbers in terms of the marginal CDF of a random input variable. From:Electric Power Systems Research,2023 Discover other topics Chapters and Articles You might find these chapters and articles relevant to this topic. ...
实验设计方法(二)——拉丁超立方体简介 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)
Python relf/egobox Star101 Code Issues Pull requests Efficient global optimization toolbox in Rust: bayesian optimization, mixture of gaussian processes, sampling methods global-optimizationgaussian-processeslatin-hypercube-samplingsurrogate-modelsmixture-of-experts ...
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...
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...
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. ...
Does anyone know if there is a function for Latin Hypercube Sampling (LHS) for a triangular distribution? So far, I have found uniform, normal, and empirical distributions only. Thank you! 댓글 수: 0 댓글을 달려면 로그인하십시오. 이 질문에 답변하...
Conditioned latin hypercube sampling: Optimal sample size for digital soil mapping of arid rangelands in Utah, USA. In BOETTINGER, J.L. et al. Digital Soil Mapping: Bridging Research, Environmental Application, and Operation (Progress in Soil Science 2). New York: Springer ...
© 2013 Springer Science+Business Media, LLC About this entry Cite this entry (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_1007...