It turns out that I’m not receiving the maximum potential value from my Netflix streaming service. Perhaps it’s because I place too much value on sleep. With my monthly subscription, I am permitted to view Netflix content 24 hours a day, 7 days a week. In my house I have […]
SAS Portal: Url’s all the space?
If you want a portal page to show an website or web page from another location (URL), use the URL portlet. You have a few options when you use an URL Portlet.
Once you have the portlet created – click the Edit button to specify the website (URL…
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…
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…
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…
Map and Reduce in MapReduce: a SAS Illustration
In last post, I mentioned Hadoop, the open source implementation of Google’s MapReduce for parallelized processing of big data. In this long National Holiday, I read the original Google paper, MapReduce: Simplified Data Processing on Large Clusters by Jeffrey Dean and Sanjay Ghemawat and got that the terminologies of “map” and “reduce” were basically borrowed […]