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Thu 7 Jan, 2010 01:02 pm
alright
I recently found out that frequentist hypothesis testing has its own subjective inputs (in terms of stopping rules as opposed to priors) and that Bayesian analysis gives P(hypothesis | data), what you actually want to know, rather than P(data | hypothesis)
so what are the advantages of frequentist analysis over the Bayesian approach; I'm not ready to throw it out the window entirely