Open Access
VOL. 55 | 2007 Empirical processes indexed by estimated functions
Jon A. Wellner Wellner, Aad W. van der Vaart

Editor(s) Eric A. Cator, Geurt Jongbloed, Cor Kraaikamp, Hendrik P. Lopuhaä, Jon A. Wellner

IMS Lecture Notes Monogr. Ser., 2007: 234-252 (2007) DOI: 10.1214/074921707000000382

Abstract

We consider the convergence of empirical processes indexed by functions that depend on an estimated parameter $\eta$ and give several alternative conditions under which the ``estimated parameter'' $\eta_n$ can be replaced by its natural limit $\eta_0$ uniformly in some other indexing set $\Theta$. In particular we reconsider some examples treated by Ghoudi and Remillard. We recast their examples in terms of empirical process theory, and provide an alternative general view which should be of wide applicability.

Information

Published: 1 January 2007
First available in Project Euclid: 4 December 2007

zbMATH: 1176.62050
MathSciNet: MR2459942

Digital Object Identifier: 10.1214/074921707000000382

Subjects:
Primary: 62F05 , 62F15 , 62G07 , 62G08 , 62G20

Keywords: delta-method , Donsker class , entropy integral , pseudo observation

Rights: Copyright © 2007, Institute of Mathematical Statistics

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