Log-concavity of multinomial likelihood functions under interval censoring constraints on frequencies or their partial sums.

We show that the likelihood function for a multinomial vector observed under arbitrary interval censoring constraints on the frequencies or their partial sums is completely log-concave by proving that the constrained sample spaces comprise M-convex subsets of the discrete simplex. [ABSTRACT FROM AUTHOR]

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