In practice, data that derive from counts rarely seem to be fit well by a Poisson model; one more flexible alternative is a negative binomial model. In this SAS-only entry, we discuss how proc mcmc can be used for estimation. An overview of support f...

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Tags: negative binomial regression, proc fcmp, proc mcmc, round function

Posted in SAS | Comments Off on Example 9.13: Negative binomial regression with proc mcmc

In practice, data that derive from counts rarely seem to be fit well by a Poisson model; one more flexible alternative is a negative binomial model. In this SAS-only entry, we discuss how proc mcmc can be used for estimation. An overview of support f...

Read more »

Tags: negative binomial regression, proc fcmp, proc mcmc, round function

Posted in SAS | Comments Off on Example 9.13: Negative binomial regression with proc mcmc

In practice, data that derive from counts rarely seem to be fit well by a Poisson model; one more flexible alternative is a negative binomial model. In this SAS-only entry, we discuss how proc mcmc can be used for estimation. An overview of support f...

Read more »

Tags: negative binomial regression, proc fcmp, proc mcmc, round function

Posted in SAS | Comments Off on Example 9.13: Negative binomial regression with 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...

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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