Open Access
2014 Donsker and Glivenko-Cantelli theorems for a class of processes generalizing the empirical process
Davit Varron
Electron. J. Statist. 8(2): 2296-2320 (2014). DOI: 10.1214/14-EJS955

Abstract

We establish a Glivenko-Cantelli and a Donsker theorem for a class of random discrete measures which generalize the empirical measure, under conditions on uniform entropy numbers that are common in empirical processes theory. Some illustrative applications in nonparametric Bayesian theory and randomly sized sampling are provided.

Citation

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Davit Varron. "Donsker and Glivenko-Cantelli theorems for a class of processes generalizing the empirical process." Electron. J. Statist. 8 (2) 2296 - 2320, 2014. https://doi.org/10.1214/14-EJS955

Information

Published: 2014
First available in Project Euclid: 3 November 2014

zbMATH: 1320.60092
MathSciNet: MR3275745
Digital Object Identifier: 10.1214/14-EJS955

Subjects:
Primary: 60F17 , 60G57 , 62F15

Keywords: Bayesian nonparametrics , Empirical processes , Random measures

Rights: Copyright © 2014 The Institute of Mathematical Statistics and the Bernoulli Society

Vol.8 • No. 2 • 2014
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