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Article Dans Une Revue STATISTICA Année : 2017

Estimation of Additive Error in Mixed Spectra for Stable Processes

Résumé

Consider a symmetric alpha stable process having a spectral representation with an additive constant error. An estimator of that error and its rate of convergence are given. We study the rate of convergence when the spectral density have some behaviors at origin. Few long memory processes are taken here as example.
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Dates et versions

hal-01860261 , version 1 (23-08-2018)

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Citer

Rachid Sabre. Estimation of Additive Error in Mixed Spectra for Stable Processes. STATISTICA, 2017, 77 (2), pp.75-90. ⟨10.6092/issn.1973-2201/7300⟩. ⟨hal-01860261⟩
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