Bayesian analysis: how to be less wrong


"Less Wrong" is the name of the blog where I found this layman's explanation of Bayes' Theorem.

As I've pointed out before, I'm not a statistician. But I can comprehend basic statistical explanations such as the explanation of the Monty Hall problem. Understanding the concepts and being able to apply them in real tests...well, that's still a big gap for me.

But if that gap is smaller (or nil) for you, SAS offers plenty of capability for Bayesian analysis. The MCMC procedure covers much of it, and there is more in other procedures such as GENMOD, LIFEREG, and PHREG.


About Author

Chris Hemedinger

Senior Manager, SAS Online Communities

+Chris Hemedinger is the manager of SAS Online Communities. Since 1993, Chris has worked for SAS as an author, a software developer, an R&D manager and a consultant. Inexplicably, Chris is still coasting on the limited fame he earned as an author of SAS For Dummies.  He also hosts the SAS Tech Talk webcasts each year from SAS Global Forum, connecting viewers with smart people from SAS R&D and the impressive work that they do.

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