Previous post in the series (or click above on Class). REVIEW! Download the code: mcmc.pred.R, mcmc.pred.examples.R. If you downloaded before, download again. This is version 0.22! Only the example code changed since […]
That Smarts Everybody knows that some people are smarter than others, and that some are teachable and some not. Well, some people do deny these facts, believing that if everybody started from […]
Review! We began our first predictive analysis, and spent a lot of time with it. But we still haven’t got to the main question! And that is how it should be. Since […]
This classic column appeared in July 2015. Besides some editing, I would now change ‘liberal’ to ‘progressive’, which I have done in the title. I made no other change. See especially the […]
You must review: Part I, II. Not reviewing is like coming to class late and saying “What did I miss?” Note the New & Improved title! Here are the main points thus […]
Regular readers know Uncertainty proposes we go back to the old way of examining and making conclusions about data, and eschew many innovations of the 20th Century. No p-values, no tests, no […]
Aaron Neville: You’re So Smart Michio Kaku on the Evolution of Intelligence That was Michio Kaku on intelligence, getting some things right, some wrong. Let’s focus on what he got right. The […]
Read Part I, Part II Part III This brings us to the second reason for measuring model goodness. Or rather an incorrect implementation of it. A lot of folks announce how well […]
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