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- dynesty — dynesty 3. 0. 0 documentation
dynesty is a Pure Python, MIT-licensed Dynamic Nested Sampling package for estimating Bayesian posteriors and evidences See Crash Course and Getting Started for more information
- GitHub - joshspeagle dynesty: Dynamic Nested Sampling package for . . .
dynesty A Dynamic Nested Sampling package for computing Bayesian posteriors and evidences Pure Python MIT license
- dynesty · PyPI
dynesty A Dynamic Nested Sampling package for computing Bayesian posteriors and evidences Pure Python MIT license Documentation Documentation can be found here Installation The most stable release of dynesty can be installed through pip via pip install dynesty The current (less stable) development version can be installed by running pip
- dynesty 开源项目教程 - CSDN博客
dynesty 是一个用于计算贝叶斯后验和证据的动态嵌套采样包。 它是一个纯 Python 项目，采用 MIT 许可证。 dynesty 的主要功能是通过动态嵌套采样方法来估计贝叶斯后验和证据（边际似然）。 该项目适用于各种需要贝叶斯推断的问题，特别是在天文学和统计学领域。
- 探索未知，与 Dynesty 共享贝叶斯世界的魅力 - GitCode博客
Dynesty 是一个强大且灵活的动态嵌套采样工具，用于计算复杂的贝叶斯后验分布和证据。 这个纯Python的开源项目由joshspeagle开发，以其MIT许可证为用户提供自由使用和贡献的机会。
- dynesty: A Dynamic Nested Sampling Package for Estimating Bayesian . . .
We present dynesty, a public, open-source, Python package to estimate Bayesian posteriors and evidences (marginal likelihoods) using Dynamic Nested Sampling
- dynesty - Read the Docs
Versions latest stable v2 1 5 v2 1 4 v2 1 3 v2 1 2 v2 1 1 v2 0 3 v2 0 0 v1 2 3 v1 0 0 extra_info https: github com joshspeagle dynesty git dynesty 6 days, 12 hours ago passed bayesian-inference, mit-license, model-selection, monte-carlo, nested-sampling, pure-python dynesty readthedocs io dynesty rtfd io stable master
- dynesty docs source examples. rst at master - GitHub
This page highlights several examples on how dynesty can be used in practice, illustrating both simple and more advanced aspects of the code Jupyter notebooks containing more details are available on Github
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