WinBUGS

WinBUGS

WinBUGS

Statistical software for Bayesian analysis

WinBUGS is statistical software for Bayesian analysis using Markov chain Monte Carlo (MCMC) methods.

Quick Facts Developer(s), Initial release ...

It is based on the BUGS (Bayesian inference Using Gibbs Sampling) project started in 1989. It runs under Microsoft Windows, though it can also be run on Linux or Mac using Wine.[1]

It was developed by the BUGS Project, a team of British researchers at the MRC Biostatistics Unit, Cambridge, and Imperial College School of Medicine, London. Originally intended to solve problems encountered in medical statistics, it soon became widely used in other disciplines, such as ecology, sociology, and geology.[2]

The last version of WinBUGS was version 1.4.3, released in August 2007. Development is now focused on OpenBUGS, an open-source version of the package. WinBUGS 1.4.3 remains available as a stable version for routine use, but is no longer being developed.[3][4]

References

  1. [1]
    WinBUGS on Wine AppDB
  2. [2]
    Brooks, Stephen P. (2003). "Bayesian Computation: A Statistical Revolution". Philosophical Transactions: Mathematical, Physical and Engineering Sciences. 361 (1813): 2681–2697. Bibcode:2003RSPTA.361.2681B. doi:10.1098/rsta.2003.1263. JSTOR 3559268. PMID 14667292. S2CID 7900994.
  3. [3]
    Lunn, D.; Spiegelhalter, D.; Thomas, A.; Best, N. (2009). "The BUGS project: Evolution, critique and future directions". Statistics in Medicine. 28 (25): 3049–3067. doi:10.1002/sim.3680. PMID 19630097. S2CID 7717482.
  4. [4]
    Thomas, Neal (2010-01-20). "Overview". OpenBUGS website. Retrieved 9 October 2010.

Further reading

  • Ntzoufras, Ioannis (2008). "WinBUGS Software: Introduction, Setup, and Basic Analysis". Bayesian Modeling Using WinBUGS. Wiley. pp. 83–123. ISBN 978-0-470-14114-4.


Stub icon

This Microsoft Windows software-related article is a stub. You can help Wikipedia by expanding it.
Share this article:

This article uses material from the Wikipedia article WinBUGS, and is written by contributors. Text is available under a CC BY-SA 4.0 International License; additional terms may apply. Images, videos and audio are available under their respective licenses.