Two meanings of priors, part I: The plausibility of models

January 10, 2017
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(This article was originally published at Nicebread, and syndicated at StatsBlogs.)

by Angelika Stefan & Felix Schönbrodt When reading about Bayesian statistics, you regularly come across terms like “objective priors“, “prior odds”, “prior distribution”, and “normal prior”. However, it may not be intuitively clear that the meaning of “prior” differs in these terms. In fact, there are two meanings of “prior” in the context of Bayesian […]

The post Two meanings of priors, part I: The plausibility of models appeared first on Nicebread.



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