WinBUGS - A Bayesian modelling framework: Concepts, structure, and extensibility
By David J. Lunn, Andrew Thomas, N. G. Best, David J. Spiegelhalter. Statistics and computing, 2000
5,900 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/b4d972cd8a6503f6066986d38d321101cd250bce
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In Artificial Intelligence
- Zoubin Ghahramani
- David M. Blei
- Yura N. Perov
- Paul-Christian Burkner
- Frank D. Wood
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- Noah D. Goodman
- Yoshua Bengio
In Statistics and Probability
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Citations in the corpus
- Moderated Mediation Analysis Using Bayesian Methods (2015, methodology): “256 WANG AND PREACHER The Bayesian estimation procedure was conducted in both the free program BUGS5 (Lunn et al., 2000; Lunn, Thomas, Best, & Spiegelhalter, 2012”
- Site occupancy models in the analysis of environmental DNA presence/absence surveys: a case study of an emerging amphibian pathogen (2013, methodology): “For this modelling, we used programs R and WINBUGS (Lunn et al. 2000; Sturtz, Ligges & Gelman 2005; R Development Core Team 2009).”
- Variational Message Passing (2005, methodology): “Inspired by WinBUGS (a graphical user interface for BUGS by Lunn et al., 2000), VIBES allows for models to be specified graphically, simply by constructing the Bayesian network for the model.”
- Plant size and resprouting ability: trading tolerance and avoidance of damage? (2006, methodology): “Models were fit using the Bayesian statistical modelling software WINBUGS 1.4.1 ( Lunn et al . 2000 ), available from http://www.mrcbsu.cam.ac.uk/bugs/.”
- A hierarchical Bayesian GEV model for improving local and regional flood quantile estimates (2016, methodology): “(10)) over all parameters is not tractable, we sample from it using the well known Markov Chain Monte Carlo (MCMC) method as implemented in the software OpenBUGS (Bayesian inference Using Gibbs Sampling, Lunn et al. (2000)), which automatically selects an appropriate sampling algorithm (e.g. Metropo”
- Sales Effects of Attention to Feature Advertisements: A Bayesian Mediation Analysis (2009, background): “…by (1) allowing for multiple endogenous variables (i.e., price and the gaze duration measure) and (2) developing a 5We developed a WinBUGS program (Lunn et al. 2000) for a simplified version of this model with one X variable, one control variable, and endogeneity of the mediator (see the Web…”
- Rapid expansion of croplands in Chihuahua, Mexico threatens declining North American grassland bird species (2014, methodology): “4 (Lunn et al., 2000) through program R (R Development Core Team, 2009) with package R2WinBUGS (Sturtz et al.”
- Seasonality and human disturbance alter brown bear activity patterns: implications for circumpolar carnivore conservation? (2017, methodology): “We estimated the unknown model parameters by Bayesian posterior means using MCMC methods in OpenBUGS (Lunn et al., 2000).”