4 citations · 5 across the 4 of their papers we have counts for
4 papers
Extremal properties of max-autoregressive moving average processes for modelling extreme river flows
Eleanor D'Arcy, Jonathan A Tawn
Max-autogressive moving average (Max-ARMA) processes are powerful tools for modelling time series data with heavy-tailed behaviour; these are a non-linear version of the popular au…
Extreme value methods for estimating rare events in Utopia
L. M. André, R. Campbell, E. D'Arcy +6
To capture the extremal behaviour of complex environmental phenomena in practice, flexi\-ble techniques for modelling tail behaviour are required. In this paper, we introduce a var…
Accounting for Climate Change in Extreme Sea Level Estimation
Eleanor D'Arcy, Jonathan A. Tawn
Extreme sea level estimates are fundamental for mitigating against coastal flooding as they provide insight for defence engineering. As the global climate changes, rising sea level…
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…