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#61 Why we still use non-Bayesian methods, with EJ Wagenmakers

Learning Bayesian Statistics

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Is the Prior Really Important for Testing?

In the laplacian estimation, you have to put a prior on the perimeter. But in the testing scenario, the prior does matter because it captures your predictions. And that means that okam's razor comes into play here. If you are betting on the next team to win the world cup something, and you're betting an equal amount on all the participating teams, then that is not a very good bet. So i think i rite an idea.

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