
Look at the picture, which is real data, but disguised to obscure its source. It is a physical measurement taken monthly by a recognized authority. The measurements are thought to have little […]
Look at the picture, which is real data, but disguised to obscure its source. It is a physical measurement taken monthly by a recognized authority. The measurements are thought to have little […]
Review! We left off with comparing the standard, out-of-the-box linear regression with our multinomial predictive observable model. The great weaknesses of the regression were probability leakage (giving positive probability to impossible values) […]
From a tweet from Taleb, who informs us the following question is part of the Indian Statistical Institute examination. (5) Mr.Trump decides to post a random message on Facebook and he starts […]
Review! Last time we created four models of CGPA. Which is correct? They all are. Why? I should ask as a homework question, but I’ll remind us here. Since all probability is […]
Review! Last time we successfully computed our model (8): (8) Pr(CGPA = i | guesses of new measures, grading rules, old obs, model), where i = 0,…,5. The model we selected […]
Query: now that I’m a video master, would people like videos of these lessons? I don’t see how they’d help much, but who knows. Let me know below or via email. Next […]
There was a paper a short while back, “Why all randomised controlled trials produce biased results“, by Alexander Krauss, in the Annals of Medicine. Raised some academic eyebrows. Krauss says, “RCTs face […]
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 […]
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