|
- 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
- Dynasty (1981 TV series) - Wikipedia
Dynasty is an American prime time soap opera that aired on ABC from January 12, 1981, to May 11, 1989 The series, created by Richard and Esther Shapiro and produced by Aaron Spelling, revolves around the Carringtons, a wealthy family residing in Denver
- 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
The most stable release of dynesty can be installed through pip via The current (less stable) development version can be installed by running pip install from inside the repository Several Jupyter notebooks that demonstrate most of the available features of the code can be found here
- 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 - Anaconda. org
Description dynesty is a dynamic nested sampling package for computing Bayesian posteriors and evidences Pure Python
- dynesty - Read the Docs
Sign up for our newsletter to get our latest blog updates delivered to your inbox weekly
- 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
|
|
|