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

Foreman-Mackey, D., Farr, W. M., Sinha, M., Archibald, A. M., Hogg, D. W., Sanders, J. S., et al. (2019). emcee v3: A Python ensemble sampling toolkit for affine-invariant MCMC. Journal of Open Source Software, 4(43): 1864. doi:10.21105/joss.01864.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0006-5E3E-D Version Permalink: https://hdl.handle.net/21.11116/0000-0006-5E3F-C
Genre: Journal Article

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emcee v3 A Python ensemble sampling toolkit for affine-invariant MCMC.pdf (Any fulltext), 136KB
 
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 Creators:
Foreman-Mackey, Daniel, Author
Farr, Will M., Author
Sinha, Manodeep, Author
Archibald, Anne M., Author
Hogg, David W., Author
Sanders, Jeremy S.1, Author           
Zuntz, Joe, Author
Williams, Peter K. G., Author
Nelson, Andrew R. J., Author
de Val-Borro, Miguel, Author
Erhardt, Tobias, Author
Pashchenko, Ilya, Author
Pla, Oriol Abril, Author
Affiliations:
1High Energy Astrophysics, MPI for Extraterrestrial Physics, Max Planck Society, ou_159890              

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Language(s): eng - English
 Dates: 2019-11-17
 Publication Status: Published online
 Pages: -
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.21105/joss.01864
Other: LOCALID: 3230046
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Title: Journal of Open Source Software
Source Genre: Journal
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Pages: - Volume / Issue: 4 (43) Sequence Number: 1864 Start / End Page: - Identifier: -