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Mar 28, 2020 at 22:17 comment added vinc17 This was my solution: easy, direct, and not much risk to be wrong with "equivalence" reasoning. But I don't know anything about Bayes' theorem. After searching a bit, this seems like the law of total probability applied to a continuous distribution (here, uniform). But perhaps that's an equivalent way of saying things.
Aug 10, 2014 at 8:19 comment added Supriyo what is f here? Please explain a little the application of Bayes theorem.
Aug 27, 2013 at 11:14 review Late answers
Aug 27, 2013 at 11:20
Aug 27, 2013 at 10:56 history answered Arash CC BY-SA 3.0