Rounding off our reports on major new developments in SAS 9.3, today we'll talk about proc mcmc and the random statement.Stand-alone packages for fitting very general Bayesian models using Markov chain Monte Carlo (MCMC) methods have been available for...

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Tags: Bayesian methods, clustering, JAGS, Markov Chain Monte Carlo, MCMC, OpenBUGS, proc genmod, proc mcmc, R2winbugs, random statement, rjags, WinBUGS

Posted in SAS | Comments Off on Example 9.8: New stuff in SAS 9.3– Bayesian random effects models in Proc MCMC

Rounding off our reports on major new developments in SAS 9.3, today we'll talk about proc mcmc and the random statement.Stand-alone packages for fitting very general Bayesian models using Markov chain Monte Carlo (MCMC) methods have been available for...

Read more »

Tags: Bayesian methods, clustering, JAGS, Markov Chain Monte Carlo, MCMC, OpenBUGS, proc genmod, proc mcmc, R2winbugs, random statement, rjags, WinBUGS

Posted in SAS | Comments Off on Example 9.8: New stuff in SAS 9.3– Bayesian random effects models in Proc MCMC

Rounding off our reports on major new developments in SAS 9.3, today we'll talk about proc mcmc and the random statement.Stand-alone packages for fitting very general Bayesian models using Markov chain Monte Carlo (MCMC) methods have been available for...

Read more »

Tags: Bayesian methods, clustering, JAGS, Markov Chain Monte Carlo, MCMC, OpenBUGS, proc genmod, proc mcmc, R2winbugs, random statement, rjags, WinBUGS

Posted in SAS | Comments Off on Example 9.8: New stuff in SAS 9.3– Bayesian random effects models in Proc MCMC

In recent weeks, we've explored methods to fit logistic regression models when a state of quasi-complete separation exists. We considered Firth's penalized likelihood approach, exact logistic regression, and Bayesian models using Markov chain Monte Ca...

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Tags: by statement, Markov Chain Monte Carlo, MCMCpack package, merge, Monte Carlo experiments, names(). events/trials syntax, ods system, random number generation, sapply(), saving output from SAS, seeds

Posted in SAS | Comments Off on Example 8.18: A Monte Carlo experiment

In examples 8.15 and 8.16 we considered Firth logistic regression and exact logistic regression as ways around the problem of separation, often encountered in logistic regression. (Re-cap: Separation happens when all the observations in a category sha...

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Tags: bayes statement, coda package, events/trials syntax, Markov Chain Monte Carlo, MCMC, MCMCpack package, ods graphics on, proc genmod

Posted in SAS | Comments Off on Example 8.17: Logistic regression via MCMC