abstract—this paper is eligible for the student
paper award. finding the underlying probability distributions of a set of observed sequences under the constraint that
each sequence is generated i.i.d by a distinct distribution is
considered. the number of distributions, and hence the number
of observed sequences, are let to grow with the observation
blocklength n. asymptotically matching upper and lower bounds
on the probability of error are derived.