The Ubiquitous Ewens Sampling Formula
Author(s) -
Harry Crane
Publication year - 2016
Publication title -
statistical science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.204
H-Index - 108
eISSN - 2168-8745
pISSN - 0883-4237
DOI - 10.1214/15-sts529
Subject(s) - statistical inference , bayesian probability , probability theory , harmony (color) , sampling (signal processing) , bayesian inference , inference , evolutionary theory , sampling theory , mathematical economics , computer science , epistemology , mathematics , artificial intelligence , statistics , philosophy , sample size determination , filter (signal processing) , computer vision , art , visual arts
Ewens’s sampling formula exemplifies the harmony of mathematical theory, statistical application, and scientific discovery. The formula not only contributes to the foundations of evolutionary molecular genetics, the neutral theory of biodiversity, Bayesian nonparametrics, combinatorial stochastic processes, and inductive inference but also emerges from fundamental concepts in probability theory, algebra, and number theory. With an emphasis on its far-reaching influence throughout statistics and probability, we highlight these and many other consequences of Ewens’s seminal discovery.
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