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

Daniel Foreman-Mackey; Will Farr; Manodeep Sinha; Anne Archibald; David Hogg; Jeremy Sanders; Joe Zuntz; Peter Williams; Andrew Nelson; Miguel de Val-Borro; Tobias Erhardt; Ilya Pashchenko; Oriol Pla

doi:10.21105/joss.01864

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Authors

Daniel Foreman-Mackey (0000-0003-0872-7098), Will Farr (0000-0003-1540-8562), Manodeep Sinha (0000-0002-4845-1228), Anne Archibald (0000-0003-0638-3340), David Hogg (0000-0003-2866-9403), Jeremy Sanders (0000-0003-2189-4501), Joe Zuntz (0000-0001-9789-9646), Peter Williams (0000-0003-3734-3587), Andrew Nelson (0000-0002-4548-3558), Miguel de Val-Borro (0000-0002-0455-9384), Tobias Erhardt (0000-0002-6683-6746), Ilya Pashchenko (0000-0002-9404-7023), Oriol Pla (0000-0002-1847-9481)

Citation

Foreman-Mackey et al., (2019). emcee v3: A Python ensemble sampling toolkit for affine-invariant MCMC. Journal of Open Source Software, 4(43), 1864, https://doi.org/10.21105/joss.01864

@article{Foreman-Mackey2019, doi = {10.21105/joss.01864}, url = {https://doi.org/10.21105/joss.01864}, year = {2019}, publisher = {The Open Journal}, volume = {4}, number = {43}, pages = {1864}, author = {Daniel Foreman-Mackey and Will Farr and Manodeep Sinha and Anne Archibald and David Hogg and Jeremy Sanders and Joe Zuntz and Peter Williams and Andrew Nelson and Miguel de Val-Borro and Tobias Erhardt and Ilya Pashchenko and Oriol Pla}, title = {emcee v3: A Python ensemble sampling toolkit for affine-invariant MCMC}, journal = {Journal of Open Source Software} }

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