Dec 1, 2023 · We perform this analysis with a new algorithm developed for non-negative asymmetric heavy-tailed data, which could become a handy tool for ...
Sep 6, 2022 · We perform this analysis with a new algorithm developed for non-negative asymmetric heavy-tailed data, which could become a handy tool in ...
In view of modelling heavy-tailed non-negative asymmetric data, a self-calibrating algorithm based on a general parametric model and on non linear optimization ...
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An analysis of the database of the cyber complaints filed at the Gendarmerie Nationale with a new algorithm developed for non-negative asymmetric ...
This method gives a good estimation of the full distribution including the tail. Our study confirms the finiteness of the loss expectation, necessary condition ...
... Better Grasping Cyber Risk Via a New Algorithm for Modelling Heavy-Tailed Data ... This method gives a good estimation of the full distribution including the tail ...
Debbabi, N., Kratz, M., & Mboup, M. (2017). A self-calibrating method for heavy tailed data modelling. application in neuroscience and finance. Preprint, ...
... research seminar on 'Building up Cyber Resilience by Better Grasping Cyber Risk via a New Algorithm for Modelling Heavy-Tailed Data', led by Prof. Marie Kratz, ...
Research & Publications Office to host research seminar on 'Building up Cyber Resilience by Better Grasping Cyber Risk via a New Algorithm for Modelling Heavy- ...
Apr 17, 2023 · We perform this analysis with a new algorithm developed for non-negative asymmetric heavy-tailed data, which could become a handy tool for ...