WinBUGS

WinBUGS is statistical software for Bayesian analysis using Markov chain Monte Carlo (MCMC) methods. It is based on the BUGS (Bayesian inference… (More)
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Review
2011
Review
2011
The reinvention of Markov chain Monte Carlo (MCMC) methods and their implementation within the Bayesian framework in the early… (More)
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2007
2007
Hierarchical mark-recapture models offer three advantages over classical mark-recapture models: (i) they allow expression of… (More)
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2007
2007
The computer package WinBUGS is introduced. We first give a brief introduction to Bayesian theory and its implementation using… (More)
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2006
2006
WinBUGS is a program for Bayesian model fitting by Gibbs sampling. WinBUGS has very limited facilities for data handling while… (More)
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2006
2006
WinBUGS is a program for Bayesian model fitting by Gibbs sampling. WinBUGS has limited facilities for data handling, whereas… (More)
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Highly Cited
2005
Highly Cited
2005
The R2WinBUGS package provides convenient functions to call WinBUGS from R. It automatically writes the data and scripts in a… (More)
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2005
2005
Markov chain Monte Carlo (MCMC) methods have become a ubiquitous tool in Bayesian analysis. This paper implements MCMC methods… (More)
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2004
2004
1 Why Bayesian analysis using MCMC is good for you 1. Has a very solid decision-theoretical framework 2. It is intuitive: a… (More)
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Highly Cited
2001
Highly Cited
2001
WinBUGS and its successor OpenBUGS specifies graphical models using acyclic Nicky, Lunn, Dave (January 2003), WinBUGS User Manual… (More)
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Highly Cited
2000
Highly Cited
2000
WinBUGS is a fully extensible modular framework for constructing and analysing Bayesian full probability models. Models may be… (More)
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