Are there efficient methods of showing when a UMVUE does not exist? I can think of the trivial case when no unbiased estimators exist at all. But that's not really interesting.
I feel like this would be difficult because there could be infinitely many unbiased estimators for a given problem. How would one efficiently compare the variances of each?