Modelling heart biopsies
Last week I introduced the JAGS program as an alternative to WinBUGS and this week I started with the intention of comparing JAGS and WinBUGS using a sample dataset. I decided to base the comparison on the biopsy example taken from the WinBUGS help files. Predictably, by the time that I had explained the model and fitted it […]
JAGS with Stata
WinBUGS and OpenBUGS are just two of a growing number of blackbox programs for performing Bayesian analysis. Others include, JAGS (http://mcmc-jags.sourceforge.net/), Stan (http://mc-stan.org/) and BiiPS(https://alea.bordeaux.inria.fr/biips/doku.php). Of these, the program that is closest in style to WinBUGS and OpenBUGS is JAGS; it has a similar structure and it uses very similar samplers. So it should be easy to modify the […]
Stata vs R
No Bayesian analysis this week, instead I want to talk more generally about statistical computing. I think that this discussion follows on naturally from my recent postings about linking Stata and R. As you might imagine I am quite a fan of Stata, but not one who is blinded to its limitations and for a […]
Adaptive MCMC
The Stata Journal has not published very much on Bayesian statistics, so I was delighted to see the article by Matthew Baker in the latest issue (Stata Journal 2014;14(3):623-661). Matthew describes a Mata program for adaptive MCMC and his paper has encouraged me to discuss this topic. You should certainly read that article alongside this blog. I […]
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