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Article Dans Une Revue Electronic Journal of Statistics Année : 2010

Non standard functional limit laws for the increments of the compound empirical distribution function

Résumé

Let (Y i , Z i) i≥1 be a sequence of independent, identically distributed (i.i.d.) random vectors taking values in R k × R d , for some integers k and d. Given z ∈ R d , we provide a nonstandard functional limit law for the sequence of functional increments of the compound empirical process, namely ∆n,c(hn, z, ·) := 1 nhn n i=1 1 [0,·) Z i − z hn 1/d Y i. Provided that nhn ∼ c log n as n → ∞, we obtain, under some natural conditions on the conditional exponential moments of Y | Z = z, that ∆n,c(hn, z, ·) Γ almost surely, where denotes the clustering process under the sup norm on [0, 1) d. Here, Γ is a compact set that is related to the large deviations of certain compound Poisson processes.
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Dates et versions

hal-01158049 , version 1 (31-08-2016)

Identifiants

Citer

Myriam Maumy-Bertrand, Davit Varron. Non standard functional limit laws for the increments of the compound empirical distribution function. Electronic Journal of Statistics , 2010, 4, pp.1324-1344. ⟨10.1214/09-EJS381⟩. ⟨hal-01158049⟩
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