Interactive exploration of a prior’s impact

(This article was originally published at Nicebread, and syndicated at StatsBlogs.)

The probably most frequent criticism of Bayesian statistics sounds something like “It’s all subjective – with the ‘right’ prior, you can get any result you want.”. In order to approach this criticism it has been suggested to do a sensitivity analysis (or robustness analysis), that demonstrates how the choice of priors affects the conclusions drawn […]

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