Compensator and exponential inequalities for some suprema of counting processes
P. Reynaud-Bouret
Statistics & Probability Letters, 2006, vol. 76, issue 14, 1514-1521
Abstract:
Talagrand [1996. New concentration inequalities in product spaces. Invent. Math. 126 (3), 505-563], Ledoux [1996. On Talagrand deviation inequalities for product measures. ESAIM: Probab. Statist. 1, 63-87], Massart [2000a. About the constants in Talagrand's concentration inequalities for empirical processes. Ann. Probab. 2 (28), 863-884], Rio [2002. Une inégalité de Bennett pour les maxima de processus empiriques. Ann. Inst. H. Poincaré Probab. Statist. 38 (6), 1053-1057. En l'honneur de J. Bretagnolle, D. Dacunha-Castelle, I. Ibragimov] and Bousquet [2002. A Bennett concentration inequality and its application to suprema of empirical processes. C. R. Math. Acad. Sci. Paris 334 (6), 495-500] have obtained exponential inequalities for suprema of empirical processes. These inequalities are sharp enough to build adaptive estimation procedures Massart [2000b. Some applications of concentration inequalities. Ann. Fac. Sci. Toulouse Math. (6) 9 (2), 245-303]. The aim of this paper is to produce these kinds of inequalities when the empirical measure is replaced by a counting process. To achieve this goal, we first compute the compensator of a suprema of integrals with respect to the counting measure. We can then apply the classical inequalities which are already available for martingales Van de Geer [1995. Exponential inequalities for martingales, with application to maximum likelihood estimation for counting processes. Ann. Statist. 23 (5), 1779-1801].
Keywords: Exponential; inequalities; Counting; process; Supremum; of; centered; integrals (search for similar items in EconPapers)
Date: 2006
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