LARGE DEVIATIONS, MODERATE DEVIATIONS AND LIL FOR EMPIRICAL PROCESSES

Authors
Citation
Lm. Wu, LARGE DEVIATIONS, MODERATE DEVIATIONS AND LIL FOR EMPIRICAL PROCESSES, Annals of probability, 22(1), 1994, pp. 17-27
Citations number
10
Categorie Soggetti
Statistic & Probability","Statistic & Probability
Journal title
ISSN journal
00911798
Volume
22
Issue
1
Year of publication
1994
Pages
17 - 27
Database
ISI
SICI code
0091-1798(1994)22:1<17:LDMDAL>2.0.ZU;2-I
Abstract
Let (X(n))n greater-than-or-equal-to 1 be a sequence of i.i.d. r.v.'s with values in a measurable space (E, E) of law mu, and consider the e mpirical process L(n)(f) = (1/n)SIGMA(k=1)n f(X(k)) with f varying in a class of bounded functions F. Using a recent isoperimetric inequalit y of Talagrand, we obtain the necessary and sufficient conditions for the large deviation estimations, the moderate deviation estimations an d the LIL of L(n)(.) in the Banach space of bounded functionals l(infi nity)(F). The extension to the unbounded functionals is also discussed .