Hi, I have two solutions to a problem one devised by me and the other by the instructor. They have the same result, but which is actually done correctly?
Problem:
Solution 1:We have an initial location with an uncertainty modelled with a Gaussian with . We take a GPS measurement which has an error variance .
Write the probabibility density functions of the prior and the measurement . And using Bayes rule, what is the posterior ?
Solution 2:
The specific calculations are not important, but I hope I've given enough information to say which is actually correct. Or maybe they both are, or neither?
(a normalizing constant)