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We show that the likelihood function for a multinomial vector observed underarbitrary interval censoring constraints on the frequencies or their partialsums is completely log-concave by proving that the constrained sample spacescomprise M-convex subsets of the discrete simplex.

Log-Concavity of Multinomial Likelihood Functions Under Interval Censoring Constraints on Frequencies or Their Partial Sums