emcee | 社區大學終身學習網
emceeisastable,welltestedPythonimplementationoftheaffine-invariantensemblesamplerforMarkovchainMonteCarlo(MCMC)proposedbyGoodman ...
Project descriptionThe Python ensemble sampling toolkit for affine-invariant MCMC
emcee is a stable, well tested Python implementation of the affine-invariant ensemble sampler for Markov chain Monte Carlo (MCMC) proposed by Goodman & Weare (2010)[1]. The code is open source and has already been used in several published projects in the Astrophysics literature.
DocumentationRead the docs at emcee.readthedocs.io[2].
AttributionPlease cite Foreman-Mackey, Hogg, Lang & Goodman (2012)[3] if you find this code useful in your research. The BibTeX entry for the paper is:
@article{emcee, author = {{Foreman-Mackey}, D. and {Hogg}, D.~W. and {Lang}, D. and {Goodman}, J.}, title = {emcee: The MCMC Hammer}, journal...dfmemcee | 社區大學終身學習網
emcee | 社區大學終身學習網
emcee 2.2.1 documentation | 社區大學終身學習網
Emcee Example | 社區大學終身學習網
emcee — emcee | 社區大學終身學習網
Fitting a model to data | 社區大學終身學習網
Installation — emcee | 社區大學終身學習網
Parallelization — emcee | 社區大學終身學習網
The Ensemble Sampler — emcee | 社區大學終身學習網
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