A functional central limit theorem for the Ewens sampling formula

A functional central limit theorem for the Ewens sampling formula

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Article ID: iaor1990679
Country: Israel
Volume: 27
Issue: 1
Start Page Number: 1
End Page Number: 7
Publication Date: Mar 1990
Journal: Journal of Applied Probability
Authors:
Abstract:

For each n>0, the Ewens sampling formula from population genetics is a measure on the set of all partitions of the integer n, To determine the limiting distributions for the part sizes of a partition with respect to the measures given by this formula, the paper associates to each partition a step function on [0,1]. Each jump in the function equals the number of parts in the partition of a certain size. The paper normalizes these functions and shows that the induced measures on D[0,1] converge to Wiener measure. This result complements Kingman’s frequency limit theorem for the Ewens partition structure.

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