Interesting paper that discusses breaks down a *cultural* distinction in stats: gambler vs scientist.
Most Bayesians are gamblers and Frequentists are scientists, but nothing fundamental to this. Just cultural. https://buff.ly/2Zx8CEU
ht @georgizgeorgiev
To me, the difference is one of social position. If you're trying to humbly beseech the powers that be, you'll be saying "But this is what actually happens in practice" (frequentist). If you're in charge, you aren't shy about using your prior knowledge (Bayesian).
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I don't think this is right. Consider the classic xkcd regarding the Bayes vs Frequentist answer to "did the sun explode?" https://xkcd.com/1132/ The comic is a straw man of frequentist stats. But Frequentists handle cases like this by incorporating prior knowledge.pic.twitter.com/ubVByapM2o
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That "frequentist" is just wrong by any standard. It's not that "the probability of this result happening by chance is X", it's "if the result were chosen by pure chance, the probability of this result happening would be X".
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