Apropos of nothing: you have a lot to say about the discrete Bayesian. But I would argue that talking about the quality of manufacturing processes, one would often do best talking about continuous distributions.
The distributions that my metal-working machines manifest (over the dimensions under tolerance that my customers care about) are the Gaussian normal, the log normal, and the Pareto.
When the continuous form of the Bayesian is discussed, they always talk about the Beta distributions.
I have tried reasoning with the lathe, the mill, and the drill presses, to begin exhibiting the Beta, but they just ignore my pleadings, and spit hot metal chips at me.
The standard frequentist approaches seem like statistical theater. So I am inclined to explore other approaches.
Apropos of nothing: you have a lot to say about the discrete Bayesian. But I would argue that talking about the quality of manufacturing processes, one would often do best talking about continuous distributions.
The distributions that my metal-working machines manifest (over the dimensions under tolerance that my customers care about) are the Gaussian normal, the log normal, and the Pareto.
When the continuous form of the Bayesian is discussed, they always talk about the Beta distributions.
I have tried reasoning with the lathe, the mill, and the drill presses, to begin exhibiting the Beta, but they just ignore my pleadings, and spit hot metal chips at me.
The standard frequentist approaches seem like statistical theater. So I am inclined to explore other approaches.