Comparison of statistical sampling methods with ScannerBit, the GAMBIT scanning module

@article{Martinez2017ComparisonOS,
  title={Comparison of statistical sampling methods with ScannerBit, the GAMBIT scanning module},
  author={Gregory D Martinez and James McKay and Ben Farmer and Pat Scott and Elinore Roebber and Antje Putze and Jan Conrad and The Gambit Scanner Workgroup},
  journal={The European Physical Journal C},
  year={2017},
  volume={77},
  pages={1-49}
}
  • Gregory D Martinez, James McKay, +5 authors The Gambit Scanner Workgroup
  • Published 2017
  • Mathematics, Physics
  • The European Physical Journal C
  • We introduce ScannerBit, the statistics and sampling module of the public, open-source global fitting framework GAMBIT. ScannerBit provides a standardised interface to different sampling algorithms, enabling the use and comparison of multiple computational methods for inferring profile likelihoods, Bayesian posteriors, and other statistical quantities. The current version offers random, grid, raster, nested sampling, differential evolution, Markov Chain Monte Carlo (MCMC) and ensemble Monte… CONTINUE READING

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