Most helpful thing I ever learned about Bayesian statistics came from Kant: all of a sudden the "prior" and "posterior" were easy to remember. In his introducti

Most helpful thing I ever learned about Bayesian statistics came from Kant: all of a sudden the "prior" and "posterior" were easy to remember. In his introduction, he discusses the origin of synthetic knowledge, and sets about distinguishing between a priori and a posteriori knowldge: that which one had before, and that which one has after. Of course we all know about "a priori" but I had never associated "a posteriori" with the same line of thinking. https://en.wikipedia.org/wiki/A_priori_and_a_posteriori https://en.wikipedia.org/wiki/A_priori_and_a_posteriori