The Malliavin-Stein method for Hawkes functionals
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Published version
Author(s)
Hillairet, Caroline
Huang, Lorick
Khabou, Mahmoud
Réveillac, Anthony
Type
Journal Article
Abstract
In this paper, following Nourdin-Peccati’s methodology, we combine the Malliavin
calculus and Stein’s method to provide general bounds on the Wasserstein distance between
the law of functionals of a compound Hawkes process and the one of a Gaussian random
variable. To achieve this, we rely on the Poisson imbedding representation of a Hawkes
process to provide a Malliavin calculus for the Hawkes processes, and more generally for
compound Hawkes processes. As an application, we close a gap in the literature by providing
a quantitative Central Limit Theorem for the compound Hawkes process.
calculus and Stein’s method to provide general bounds on the Wasserstein distance between
the law of functionals of a compound Hawkes process and the one of a Gaussian random
variable. To achieve this, we rely on the Poisson imbedding representation of a Hawkes
process to provide a Malliavin calculus for the Hawkes processes, and more generally for
compound Hawkes processes. As an application, we close a gap in the literature by providing
a quantitative Central Limit Theorem for the compound Hawkes process.
Date Issued
2022
Date Acceptance
2022-09-26
Citation
ALEA : Latin American Journal of Probability and Mathematical Statistics, 2022, 19 (2), pp.1293-1293
ISSN
1980-0436
Publisher
Instituto Nacional de Matemática Pura e Aplicada
Start Page
1293
End Page
1293
Journal / Book Title
ALEA : Latin American Journal of Probability and Mathematical Statistics
Volume
19
Issue
2
Copyright Statement
Copyright © 2022 The Author(s).
Identifier
http://dx.doi.org/10.30757/alea.v19-52
Publication Status
Published
Date Publish Online
2022