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emcee v3: A Python ensemble sampling toolkit for affine-invariant MCMC

scientific article published on 17 November 2019

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emcee v3: A Python ensemble sampling toolkit for affine-invariant MCMC (English)

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Daniel Foreman-Mackey

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Will M. Farr

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Manodeep Sinha

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Anne M. Archibald

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David W. Hogg

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Jeremy Sanders

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Peter K. G. Williams

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Andrew Nelson

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Miguel de Val-Borro

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Tobias Erhardt

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Oriol Pla

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Joe Zuntz

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Ilya Pashchenko

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publication date

17 November 2019

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published in

Journal of Open Source Software

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volume

4

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issue

43

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page(s)

1864

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cites work

Differential Evolution Markov Chain with snooker updater and fewer chains

1 reference

20 August 2022

https://opencitations.net/index/coci/api/v1/references/10.21105/JOSS.01864

emcee: The MCMC Hammer

1 reference

20 August 2022

https://opencitations.net/index/coci/api/v1/references/10.21105/JOSS.01864

A Markov Chain Monte Carlo version of the genetic algorithm Differential Evolution: easy Bayesian computing for real parameter spaces

1 reference

20 August 2022

https://opencitations.net/index/coci/api/v1/references/10.21105/JOSS.01864

Identifiers

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arXiv ID

1911.07688

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(Q113227825)

emcee v3: A Python ensemble sampling toolkit for affine-invariant MCMC

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