Dear All,
Suppose you are given two distributions (or better: two equally-sized
lists of data); how can you evaluate the difference between them?
I need something like an overlap measure of the two (let us say 0 == no
overlap and 1== complete overlap). I should add that there is a 1-1
correspondence of the data in the two distributions (they are ordered
lists and e.g. the third element in the first distribution "matches" the
third element in the second distribution).
The two distributions are not analytical (I mean they do not belong to
any well known family).
I wonder if mutual information could be what I am looking for.
Cheers
Lorenzo
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