activity
20192024
most citedModelling the clustering of extreme events for short-term risk assessment

14 citations · 18 across the 5 of their papers we have counts for

collaborators

5 papers

stat.ME2024

Conditional Extremes with Graphical Models

Aiden Farrell, Emma F. Eastoe, Clement Lee

Multivariate extreme value analysis quantifies the probability and magnitude of joint extreme events. Classical multivariate models, such as max-stable or multivariate generalised…

stat.ME2023

Improving estimation for asymptotically independent bivariate extremes via global estimators for the angular dependence function

C. J. R. Murphy-Barltrop, J. L. Wadsworth, E. F. Eastoe

Modelling the extremal dependence of bivariate variables is important in a wide variety of practical applications, including environmental planning, catastrophe modelling and hydro…

stat.ME2022

A penalised piecewise-linear model for non-stationary extreme value analysis of peaks over threshold

Anna Maria Barlow, Ed Mackay, Emma Eastoe +1

Metocean extremes often vary systematically with covariates such as direction and season. In this work, we present non-stationary models for the size and rate of occurrence of peak…

stat.AP2020★ 4 cited

Degree distributions in networks: beyond the power law

Clement Lee, Emma Eastoe, Aiden Farrell

The power law is useful in describing count phenomena such as network degrees and word frequencies. With a single parameter, it captures the main feature that the frequencies are l…

stat.ME2019★ 14 cited

Modelling the clustering of extreme events for short-term risk assessment

Ross Towe, Jonathan Tawn, Emma Eastoe +1

Having reliable estimates of the occurrence rates of extreme events is highly important for insurance companies, government agencies and the general public. The rarity of an extrem…