gvs_BUGS swMATH ID: 26317 Software Authors: Ioannis Ntzoufras Description: Gibbs Variable Selection using BUGS. In this paper we discuss and present in detail the implementation of Gibbs variable selection as defined by Dellaportas et al. (2000, 2002) using the BUGS software (Spiegelhalter et al. , 1996a,b,c). The specification of the likelihood, prior and pseudo-prior distributions of the parameters as well as the prior term and model probabilities are described in detail. Guidance is also provided for the calculation of the posterior probabilities within BUGS environment when the number of models is limited. We illustrate the application of this methodology in a variety of problems including linear regression, log-linear and binomial response models. Homepage: https://www.jstatsoft.org/v007/i07 Keywords: Logistic regression; Linear regression; MCMC; Model selection; BUGS; Gibbs Variable Selection; Journal of Statistical Software Related Software: BayesDA; WinBUGS; BUGS; conting; rjmcmc; MCMCprecision; RcppArmadillo; JAGS; Armadillo; CODA; GLIM; actuar Cited in: 3 Publications Standard Articles 1 Publication describing the Software Year all top 5 Cited by 11 Authors 1 Gronau, Quentin F. 1 Heck, Daniel W. 1 Overstall, Antony M. 1 Ozkok, Erengul 1 Ryan, Louise M. 1 Streftaris, George 1 Wagenmakers, Eric-Jan 1 Walkowiak, Jens 1 Waters, Howard R. 1 Whitney, Melissa 1 Wilkie, A. David Cited in 3 Serials 1 Insurance Mathematics & Economics 1 Journal of Statistical Theory and Practice 1 Statistics and Computing Cited in 4 Fields 3 Statistics (62-XX) 3 Numerical analysis (65-XX) 1 Probability theory and stochastic processes (60-XX) 1 Game theory, economics, finance, and other social and behavioral sciences (91-XX) Citations by Year