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There's no conflict. Nowadays whoever takes some courses in statistics will be exposed to Bayesian statistics. The universal reaction when exposed to Bayesian s
by credit_guy 4y ago
There's no conflict. Nowadays whoever takes some courses in statistics will be exposed to Bayesian statistics. The universal reaction when exposed to Bayesian statistics is to fall in love with it, to think it's the answer to all of the world's problems (with the possible exception of war and hunger). But most people get to the point where they realize that Bayesian statistics is just a set of tools. Frequentist statistics can often times get you essentially the same results, with less effort.
And by the way, what do you call MLE (maximum likelihood estimation)? Is it frequentist? Because it looks awfully close to Bayesian.
- kgwgk 4y agoMLE is usually considered frequentist. See for example the table in https://en.wikipedia.org/wiki/Frequentist_inference https://en.wikipedia.org/wiki/Frequentist_inference Bayesian inference uses the likelihood function but I wouldn't say that this fact alone makes MLE "close to Bayesian". MLE neither considers a (prior) probability distribution nor produces a (posterior) probability distribution for the parameter of interest.