资 源 简 介
Sequential Monte Carlo
We provide a novel Sequential Monte Carlo algorithm to integrate the posterior distribution of a Bayesian variable selection problem. The code used for the numerical work in Sequential Monte Carlo on large binary sampling spaces is contained in the package ibs.
We provide a novel Sequential Monte Carlo algorithm to stochastically optimize pseudo-Boolean functions. The code used for the numerical work in Particle algorithms for optimization on binary spaces is contained in the package obs.
Installation
The python project for sequential Monte Carlo on binary spaces is available in the Downloads section. Currently the project configuration is done using a documented text file. We are going to provide a graphical interface within the next weeks in order to make the software more easily accessible. Therefore, the 请点击左侧文件开始预览 !预览只提供20%的代码片段,完整代码需下载后查看 加载中 侵权举报
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