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词条 Bayesian inference using Gibbs sampling
释义

  1. See also

  2. References

{{more citations needed|date=March 2013}}

Bayesian inference using Gibbs sampling (BUGs) is a software package for performing Bayesian inference using Markov chain Monte Carlo (based on Gibbs sampling).

BUGs is used in the following software:[1]

  • Just another Gibbs sampler
  • OpenBUGS
  • WinBUGS

See also

  • Spike and slab variable selection
  • Bayesian structural time series

References

1. ^David Lunn, David Spiegelhalter, Andrew Thomas and Nicky Best (2009). The BUGS project: Evolution, critique and future directions {{webarchive|url=https://web.archive.org/web/20120915083751/http://w3.jouy.inra.fr/unites/miaj/public/matrisq/Contacts/applibugs.bugs_project.evolution.pdf |date=2012-09-15 }}, Statistics in Medicine 28 (25), 3049–3067. {{doi|10.1002/sim.3680}} {{PMID|19630097}}.
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1 : Computational statistics

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