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Article Dans Une Revue ESAIM: Probability and Statistics Année : 2009

Hölderian invariance principle for Hilbertian linear processes

Résumé

Let be the polygonal partial sums processes built on the linear processes , , where are i.i.d., centered random elements in some separable Hilbert space and the 's are bounded linear operators , with . We investigate functional central limit theorem for in the Hölder spaces of functions such that uniformly in , where , with and slowly varying at infinity. We obtain the weak convergence of to some valued Brownian motion under the optimal assumption that for any , when tends to infinity, subject to some mild restriction on in the boundary case . Our result holds in particular with the weight functions , .

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Dates et versions

hal-00497326 , version 1 (04-07-2010)

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Alfredas Račkauskas, Charles Suquet. Hölderian invariance principle for Hilbertian linear processes. ESAIM: Probability and Statistics, 2009, 13, pp.261-275. ⟨10.1051/ps:2008011⟩. ⟨hal-00497326⟩
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