Open Access
VOL. 5 | 2009 Uniform central limit theorems for sieved maximum likelihood and trigonometric series estimators on the unit circle
Chapter Author(s) Richard Nickl
Editor(s) Christian Houdré, Vladimir Koltchinskii, David M. Mason, Magda Peligrad
Inst. Math. Stat. (IMS) Collect., 2009: 338-356 (2009) DOI: 10.1214/09-IMSCOLL522

Abstract

Given an i.i.d. sample from the law ℙ on the unit circle, we obtain uniform central limit theorems for the random measures induced by trigonometric series and sieved maximum likelihood density estimators. The limit theorems are uniform over balls in Sobolev-Hilbert spaces of order s>1/2.

Information

Published: 1 January 2009
First available in Project Euclid: 2 February 2010

zbMATH: 1243.60031
MathSciNet: MR2797957

Digital Object Identifier: 10.1214/09-IMSCOLL522

Subjects:
Primary: 60F17
Secondary: 46E35

Keywords: Density estimation , orthogonal series estimator , sieved maximum likelihood estimator , uniform central limit theorem

Rights: Copyright © 2009, Institute of Mathematical Statistics

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