The Malliavin-Stein method for Hawkes functionals
نویسندگان
چکیده
In this paper, following Nourdin-Peccati's methodology, we combine the Malliavin calculus and Stein's method to provide general bounds on Wasserstein distance between functionals of a compound Hawkes process given Gaussian density. To achieve this, rely Poisson embedding representation an for processes, more generally processes. As application, close gap in literature by providing first Berry-Ess\'een associated Central Limit Theorems process.
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ژورنال
عنوان ژورنال: ALEA-Latin American Journal of Probability and Mathematical Statistics
سال: 2022
ISSN: ['1980-0436']
DOI: https://doi.org/10.30757/alea.v19-52