I still don't understand the apparently substantial difference between Frequentist and Bayesian reasoning. The subject was brought up again in a class I just attended—and I was still left with a distinct "... those... those aren't different things" feeling.
I am beginning to come to the conclusion that the whole "debate" is a case of Red vs. Blue nonsense. So far, whenever one tries to elaborate on a difference, it is done via some hypothetical anecdote, and said anecdote rarely amounts to anything outside of "Different people sometimes treat uncertainty differently in different situations, depending on the situation." (Usually by having one's preferred side make a very reasonable conclusion, and the other side make some absurd leap of psuedo-logic).
Furthermore, these two things hardly ever seem to have anything to do with the fundamental definition of probability, and have everything to do with the assumed simplicity of a given system.
I AM ANGRY
This debate is boring and old, people getting work done in ML/stats have long ago moved past it. My suggestion is to find something better to talk about: it's mostly wankery if people other than ML/stats people are talking.
If it's worth saying, but not worth its own post (even in Discussion), then it goes here.
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