Gloria Buriticá

Gloria Buriticá

I'm a lecturer in statistics at MIA Paris-Saclay, AgroParisTech. My research is centered on extreme value theory and statistical learning with a primary focus on risk assessment in climate sciences.

Modeling Extreme Events: Univariate and Multivariate Data-Driven Approaches

Published in Submitted, 2024

Recommended citation: G. Buritica, M. Hentschel, O. C. Pasche, F. Roettger, Z. Zhang (2024). Modeling extreme events: Univariate and multivariate data-driven approaches. Extremes. https://doi.org/10.1007/s10687-024-00499-9

‘This note presents data-driven methodologies for risk analysis based on univariate and multivariate methods in extreme value theory. It contains the contribution of team genEVA for the 2023 EVA data challenge competition organized in Milano.’

[Download paper here].

G. Buritica, M. Hentschel, O. C. Pasche, F. Roettger, Z. Zhang (2024). Modeling Extreme Events: Univariate and Multivariate Data-Driven Approaches. Extremes. https://doi.org/10.1007/s10687-024-00499-9