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Oeschger Centre for Climate Change Research

Switzerland

19 papers here880 citations across 19
fields
  • physics.geo-ph4
  • physics.ao-ph3
  • astro-ph.EP2
  • astro-ph.IM2
  • physics.space-ph2
  • astro-ph.SR1
  • cond-mat.mes-hall1
  • cs.LG1
ROR 0329s8h62OpenAlex

affiliations via OpenAlex

output
20142025
most citedemcee v3: A Python ensemble sampling toolkit for affine-invariant MCMC

292 citations

researchers with a paper here
  • G. Stober2 profiles3 · h 33
  • J. Fohlmeister2 · h 31
  • M. Leuenberger2 · h 59
  • Therese Weissbach2 · h 6
  • W. Aeschbach2 · h 8
  • A. Archibald1 · h 48
  • A. Baker1 · h 13
  • A. Czechowski1
  • A. Doucet1 · h 90
  • A. Elias1 · h 16
  • A. Galli1 · h 3
  • A. Hering1 · h 24
collaborating institutions
  • University of BernCH18 papers
  • Center for Astrophysics Harvard & SmithsonianUS3 papers
  • Heidelberg UniversityDE3 papers
  • University of OxfordGB3 papers
  • Centre National de la Recherche ScientifiqueFR2 papers
  • Chinese Academy of SciencesCN2 papers
  • ETH ZurichCH2 papers
  • GFZ Helmholtz Centre for GeosciencesDE2 papers
  • Karlsruhe Institute of TechnologyDE2 papers
  • University of BaselCH2 papers
  • University of ChicagoUS2 papers
  • University of Colorado BoulderUS2 papers
Showing 2019Show all

1 paper · 1 filter

astro-ph.IM2019★ 292 cited

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

Daniel Foreman-Mackey, Will M. Farr, Manodeep Sinha +10

emcee is a Python library implementing a class of affine-invariant ensemble samplers for Markov chain Monte Carlo (MCMC). This package has been widely applied to probabilistic mode…

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