On selecting a subset containing the most probable multinomial event

By Han Liu, J. Lin. 1991

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Forward stability and model path selection (2021, neutral): “…D ) —for any multinomial, is bounded by the probability of making a correct selection when the true multinomial distribution has uniform probability parameters; that is, θ m = 1 M for all m = 1 , . . . , M in a multinomial with M possible outcomes (Chen 1986; Liu and Lin 1991; Panchapakesan 2006).”
A Note on a Subset Selection Procedure for the Most Probable Multinomial Event (2006, methodology): “The subset selection procedure proposed and investigated by Panchapakesan (1971) is as follows. R: Take observations one at a time from the multinomial distribution until the count in any of the cells reaches a prespecified number M ≥ 2. Let xi be the count in cell i, i = 1 k, at termination of samp”