Empirical processes indexed by estimated functions

Details Empirical processes indexed by estimated functions Empirical processes indexed by estimated functions

2007-09-07

arxiv.org/abs/0709.1013v1

IMS Lecture Notes Monograph Series 2007, Vol. 55, 234-252

Mathematics

Statistics Theory

Published at http://dx.doi.org/10.1214/074921707000000382 in the IMS Lecture Notes Monograph Series (http://www.imstat.org/p

Scientific paper

10.1214/074921707000000382

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 [Asymptotic Methods in Probability and Statistics (1998) 171--197, Fields Inst. Commun. 44 (2004) 381--406]. 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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