
I don’t think we’re clear on what simulation is NOT. RANDOMNESS IS NOT NECESSARY, for the simple reason randomness is merely a state of knowledge. Hence this classic post from 12 June […]
I don’t think we’re clear on what simulation is NOT. RANDOMNESS IS NOT NECESSARY, for the simple reason randomness is merely a state of knowledge. Hence this classic post from 12 June […]
RELEVANT ARTICLES New Paper! Reality-Based Probability & Statistics: Solving the Evidential Crisis (link) New Paper! Everything Wrong With P-values Under One Roof (link) New Paper! The Replacement For Hypothesis Testing (link) Randomization […]
Review! You must at least review the first lessons—all class material is on one page for ease. I’ll have more words about the mysticism of simulation, but I’ve said it all before […]
Let’s drag the statistician’s hoary threadbare ball-filled bag out of the cupboard to make a point. In it are 3 white balls and 2 black. Using the statistical syllogism, we deduce the […]
Mandatory! Read Part I. I will ignore all comments already answered in Part I. Download the code: mcmc.pred.R, mcmc.pred.examples.R. Update If you downloaded before, download again. This is version 0.2! You must […]
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 […]
Introduction Here’s what we always want, but never get, using the old ways of doing statistics: The probability that some proposition Y is true given certain assumptions. Like this: (1) Pr(Y […]
Many changes coming.. Site fixes You’ve seen the new theme by now. Many more people were reading on “devices” and the old format was not well suited. Plus, the typography on this […]
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