Today I learned:
1) If you need to assign a prior probability to a standard deviation parameter (as I mentioned in a TIL a couple days ago), you should use the Jeffreys prior, which is basically p(sigma) = 1/sigma. I know, kind of oddly simple... but that's the only prior probability distribution that's "fair" in the sense that if you'd chosen to make a prior over 1/sigma^2 instead of sigma (which is a totally arbitrary choice), you'd use exactly the same prior. Also, it has the maximum entropy under certain conditions, which is another way to say it's maximally uninformative.
2) It's not known for sure how buffalo sauce got that name, but the most likely reason is that it was invented by a bar in Buffalo.
3) xbox one has a skype app. And it's pretty good.
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