Review! This class is neither frequentist nor Bayesian nor machine learning in theory. It is pure probability, and unlike any other class available. And for the right price! We have all we […]
Taleb’s Curious Views On Probability — Part II: Skin in the Game
Read Part I It is in one sense fortunate that the mathematical, or rather quantitative, roots of probability began with gambling. Routine gambles are easy to understand, and the calculations not only […]
Parameters Aren’t What You Think
I was asked to comment on a post by Dan Simpson exploring the Bernstein-von Mises theorem. This post fits in with the Data Science class, a happy coincidence, and has been so […]
Example Of How To Eliminate P-values & Their Replacement
Many, many more details are available in Uncertainty: The Soul of Modeling, Probability & Statistics and at this page. Last time we learned that the way to do probability models was this: […]
Taleb’s Curious Views On Probability — Part I: I Say Probability Does Not Exist
Ye Olde Statistician points us to an essay (a book chapter?) by our old pal Nassim Nicholas Taleb called “The Logic of Risk Taking“. Let’s examine it. You, dear reader, do not […]
Taleb’s Curious Views On Probability — Part III: Ergodicity & All That
Read Part I, Part II Ergodic in probability has a technical definition. Without going into mathematical details (which are fine except possibly when applied), a “sequence” is defined as a run of […]
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