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prase comments on Bayesian Flame - Less Wrong
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Hm, should I understand it that the frequentist assumes normal distribution of the mean value with peak at the estimated 5.26?
If so, then frequentism = bayes + flat prior.
Improper priors are however quite tricky, they may lead to paradoxes such as the two-envelope paradox.
The prior for variance that matches the frequentist conclusion isn't flat. And even if it were, a flat prior for variance implies a non-flat prior for standard deviation and vice versa. :-)
Of course, I meant flat distribution of the mean. The variance cannot be negative at least.