Institute of Mathematical Statistics Lecture Notes - Monograph Series
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Empirical processes indexed by estimated functions

Aad W. van der Vaart, Jon A. Wellner Wellner

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.

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Primary Subjects: 62G07, 62G08, 62G20, 62F05, 62F15
Keywords: delta-method; Donsker class; entropy integral; pseudo observation
Full-text: Open access
Links and Identifiers

Permanent link to this document: http://projecteuclid.org/euclid.lnms/1196797079
Digital Object Identifier: doi:10.1214/074921707000000382

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2012 © Institute of Mathematical Statistics

Institute of Mathematical Statistics Lecture Notes - Monograph Series

Institute of Mathematical Statistics Lecture Notes - Monograph Series