activity
20182024
most citedDetermining the Dependence Structure of Multivariate Extremes

38 citations · 105 across the 7 of their papers we have counts for

collaborators

7 papers

stat.AP2024★ 3 cited

Spatial extremal modelling: A case study on the interplay between margins and dependence

Lydia Kakampakou, Emma S. Simpson, Jennifer L. Wadsworth

It is no secret that statistical modelling often involves making simplifying assumptions when attempting to study complex stochastic phenomena. Spatial modelling of extreme values…

stat.ME2022★ 3 cited

Estimating the limiting shape of bivariate scaled sample clouds: with additional benefits of self-consistent inference for existing extremal dependence properties

Emma S. Simpson, Jonathan A. Tawn

The key to successful statistical analysis of bivariate extreme events lies in flexible modelling of the tail dependence relationship between the two variables. In the extreme valu…

stat.ME2021★ 4 cited

A marginal modelling approach for predicting wildfire extremes across the contiguous United States

Eleanor D'Arcy, Callum John Rowlandson Murphy-Barltrop, Rob Shooter +1

This paper details a methodology proposed for the EVA 2021 conference data challenge. The aim of this challenge was to predict the number and size of wildfires over the contiguous…

math.ST2020★ 9 cited

A geometric investigation into the tail dependence of vine copulas

Emma S. Simpson, Jennifer L. Wadsworth, Jonathan A. Tawn

Vine copulas are a type of multivariate dependence model, composed of a collection of bivariate copulas that are combined according to a specific underlying graphical structure. Th…

stat.ME2020★ 17 cited

High-dimensional modeling of spatial and spatio-temporal conditional extremes using INLA and Gaussian Markov random fields

Emma S. Simpson, Thomas Opitz, Jennifer L. Wadsworth

The conditional extremes framework allows for event-based stochastic modeling of dependent extremes, and has recently been extended to spatial and spatio-temporal settings. After s…

stat.ME2020★ 31 cited

Conditional Modelling of Spatio-Temporal Extremes for Red Sea Surface Temperatures

Emma S. Simpson, Jennifer L. Wadsworth

Recent extreme value theory literature has seen significant emphasis on the modelling of spatial extremes, with comparatively little consideration of spatio-temporal extensions. Th…

stat.ME2018★ 38 cited

Determining the Dependence Structure of Multivariate Extremes

Emma S. Simpson, Jennifer L. Wadsworth, Jonathan A. Tawn

In multivariate extreme value analysis, the nature of the extremal dependence between variables should be considered when selecting appropriate statistical models. Interest often l…