Predictive statistics can help alleviate the Reproducibility Crisis by, in a word, eliminating p-values. And replacing them with superior measures more useful in quantifing the uncertainty present. Below is some, what I […]
Here it is, friends, the one complete universal simple function, the only function you will ever need to fit any—I said any—dataset x. And all it takes is one—I said one—parameter! . […]
The term predictive statistics is used to describe a focus on observables, and not on any invisible model-based parameters as is found in estimation and null hypothesis significance testing. It isn’t sticking, […]
What is the purpose of modeling? There can be only two. The first is to say what happened, to explain. But in order to do this one must first assume what one […]
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 […]
We are finally at the most crucial part of the modeling process: proving if the damned thing works. Not “works” in the sense that we get good unobservable parameter estimates, but works […]
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 […]
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 […]
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