EHeller comments on A History of Bayes' Theorem - Less Wrong
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I'm not sure that the debates were even THAT recent. I think your professsors are worried about a common failure mode that sometimes creeps up- people like to think they know the "one true way" to do statistics (or really any problem) and so they start turning every problem into a nail so that they can keep using their hammer, instead of using appropriate methodology to the problem at hand.
I see this a fair amount in data mining, where certain people ONLY use neural nets, and certain people ONLY use various GLMs and extensions and sometimes get overly-heated about it.
Thanks for the warning. I thought the only danger was ideological commitment. But--correct me if I'm wrong, or just overrecahing--it sounds like if I fail, it'll be because I develop an expertise and become motivated to defend the value of my own skill.
No, more like you'll spend months (or more) pushing against a research problem to make it approachable via something in a Bayesian toolbox when there was a straightforward frequentist approach sitting there all along.