# WinBUGS

## Papers overview

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Review

2011

Review

2011

- 2011

The reinvention of Markov chain Monte Carlo (MCMC) methods and their implementation within the Bayesian framework in the earlyâ€¦Â (More)

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2007

2007

- Environmental and Ecological Statistics
- 2007

Hierarchical mark-recapture models offer three advantages over classical mark-recapture models: (i) they allow expression ofâ€¦Â (More)

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2007

2007

- 2007

The computer package WinBUGS is introduced. We first give a brief introduction to Bayesian theory and its implementation usingâ€¦Â (More)

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2006

2006

- 2006

WinBUGS is a program for Bayesian model fitting by Gibbs sampling. WinBUGS has very limited facilities for data handling whileâ€¦Â (More)

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2006

2006

- 2006

WinBUGS is a program for Bayesian model fitting by Gibbs sampling. WinBUGS has limited facilities for data handling, whereasâ€¦Â (More)

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Highly Cited

2005

Highly Cited

2005

- 2005

The R2WinBUGS package provides convenient functions to call WinBUGS from R. It automatically writes the data and scripts in aâ€¦Â (More)

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2005

2005

- 2005

Markov chain Monte Carlo (MCMC) methods have become a ubiquitous tool in Bayesian analysis. This paper implements MCMC methodsâ€¦Â (More)

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2004

2004

- 2004

1 Why Bayesian analysis using MCMC is good for you 1. Has a very solid decision-theoretical framework 2. It is intuitive: aâ€¦Â (More)

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Highly Cited

2001

Highly Cited

2001

- 2001

WinBUGS and its successor OpenBUGS specifies graphical models using acyclic Nicky, Lunn, Dave (January 2003), WinBUGS User Manualâ€¦Â (More)

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Highly Cited

2000

Highly Cited

2000

- Statistics and Computing
- 2000

WinBUGS is a fully extensible modular framework for constructing and analysing Bayesian full probability models. Models may beâ€¦Â (More)

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