Bayesian Statistics has evolved over the last 30 years or so with explosive growth and wide reaching theoretical contributions. Widespread adoption by applied researchers has been slow due to the lack of software, computational complexity and model formulations real world problems presents. The BUGS software project has made a substantial step in bridging these problems for small and moderate sized problems. The BUGS (Bayesian inference Using Gibbs Sampling) project is concerned with flexible software for the Bayesian analysis of complex statistical models using Markov chain Monte Carlo (MCMC) methods. GeoBUGS 1.2 is an extension for spatial analysis and PKBUGS is for pharmacokinetic modelling. For additional info see: http://www.mrcbsu.cam.ac.uk/bgs/welcome.shtml
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