4 ms·
Bayesian uses a broader prior -- a distribution over possible prior distributions of facts, instead of assuming a single possible prior (Gaussian). In that sens
by anothermachine 14y ago
Bayesian uses a broader prior -- a distribution over possible prior distributions of facts, instead of assuming a single possible prior (Gaussian). In that sense you could sort of squint and say that that's the contrast.
- pjscott 14y agoTechnically, you're allowed to use whatever prior you like. A beautiful thing about Bayesian inference is that it tells you how to update your prior, without making any assumptions about what it may be.
- btilly 14y agoFrequentist approaches do not use any prior at all. Indeed some of the issues that frequentists wind up getting genuinely concerned about, such as repeated significance testing errors, are clear logical fallacies if you're doing any sort of Bayesian analysis. As an example, most of http://www.evanmiller.org/how-not-to-run-an-ab-test.html http://www.evanmiller.org/how-not-to-run-an-ab-test.html will look dead wrong to any informed Bayesian.