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Nehla Debbabi

2 papers hereh-index 566 citations9 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • stat.ME2

identity via Semantic Scholar / OpenAlex

most citedA self-calibrating method for heavy tailed data modelling. Application in neuroscience and finance

5 citations · 5 across the 2 of their papers we have counts for

collaborators

2 papers

stat.ME2022

Building up Cyber Resilience by Better Grasping Cyber Risk Via a New Algorithm for Modelling Heavy-Tailed Data

Michel Dacorogna, Nehla Debbabi, Marie Kratz

Cyber security and resilience are major challenges in our modern economies; this is why they are top priorities on the agenda of governments, security and defense forces, managemen…

stat.ME2016★ 5 cited

A self-calibrating method for heavy tailed data modelling. Application in neuroscience and finance

Nehla Debbabi, Marie Kratz, Mamadou Mboup

Modelling non-homogeneous and multi-component data is a problem that challenges scientific researchers in several fields. In general, it is not possible to find a simple and closed…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.