printBayesian vs frequentist: squabbling among the ignorant
by forwardslash
Every so often some comparison of Bayesian and frequentist statistics comes to my attention. Today it was on a blog called Pythonic Perambulations. It's the work of amateurs. Their description on noninformative priors is simplified to the point of distortion. They insist on kludging their tools instead of fixing their model when it is clearly misspecified. They use a naive construction for 95% confidence intervals and are surprised when it fails miserably, and even use this as an argument against 95% confidence intervals.1 Normally I would shrug and move on, but it happened to catch me in a particularly grumpy mood, so here we are.