Rethinking and Innovating Statistics for Extremes

Scientific Responsible for the Department: Antonio Canale, Head of the Local Unit

Funder: Funded by the European Union- Next Generation EU

Objectives: RISE aims to rethink the current approaches for extreme value analysis, inspired by the distance between the mathematical assumptions underlying classical extreme value theory and the behavior of real-world processes. These extensions will rely on combining modern statistical alternatives to classical extreme value theory. In particular we will employ Bayesian and frequentist nonparametric and semiparametric methods, extending their use in the field of extreme value statistics.

Research Network:

• Ca’ Foscari University of Venice
• University of Padova

Duration: September 2023 – September 2025

Project website: https://risextremes.github.io/