Fixing Random, part 31

added by DotNetKicks
5/21/2019 3:08:16 PM

1 Kicks, 292 Views

Last time in this series we saw that we could compute a continuous posterior distribution when given a continuous prior and a discrete likelihood function; I hope it is clear how that is useful, but I'd like to switch gears for a moment and look at a different (but also extremely useful) computation: the expected...