Open Access
November, 1991 On the Functional Central Limit Theorem for the Ewens Sampling Formula
Peter Donnelly, Thomas G. Kurtz, Simon Tavare
Ann. Appl. Probab. 1(4): 539-545 (November, 1991). DOI: 10.1214/aoap/1177005837

Abstract

The Ewens sampling formula arises in population genetics and the study of random permutations as a probability distribution on the set of partitions (by allelic type in a sample, or according to cycle structure, respectively) of the integer $n$ for each $n$. It may be embedded naturally in the familiar linear birth process with immigration. One consequence of this is another proof of the functional central limit theorem for the Ewens sampling formula.

Citation

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Peter Donnelly. Thomas G. Kurtz. Simon Tavare. "On the Functional Central Limit Theorem for the Ewens Sampling Formula." Ann. Appl. Probab. 1 (4) 539 - 545, November, 1991. https://doi.org/10.1214/aoap/1177005837

Information

Published: November, 1991
First available in Project Euclid: 19 April 2007

zbMATH: 0747.60013
MathSciNet: MR1129773
Digital Object Identifier: 10.1214/aoap/1177005837

Subjects:
Primary: 60C05
Secondary: 60F17 , 60J85 , 92D10

Keywords: Brownian motion , Random partitions , Random permutations

Rights: Copyright © 1991 Institute of Mathematical Statistics

Vol.1 • No. 4 • November, 1991
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