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20122023
most citedCross-validatory extreme value threshold selection and uncertainty with application to ocean storm severity

82 citations · 194 across the 16 of their papers we have counts for

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6 papers · 1 filter

stat.ME2023★ 7 cited

covXtreme : MATLAB software for non-stationary penalised piecewise constant marginal and conditional extreme value models

Ross Towe, Emma Ross, David Randell +1

The covXtreme software provides functionality for estimation of marginal and conditional extreme value models, non-stationary with respect to covariates, and environmental design c…

stat.ME2023★ 6 cited

Temporal evolution of the extreme excursions of multivariate th order Markov processes with application to oceanographic data

Stan Tendijck, Philip Jonathan, David Randell +1

We develop two models for the temporal evolution of extreme events of multivariate th order Markov processes. The foundation of our methodology lies in the conditional extremes…

stat.ME2022

Multivariate spatial conditional extremes for extreme ocean environments

Rob Shooter, Emma Ross, Agustinus Ribal +2

The joint extremal spatial dependence of wind speed and significant wave height in the North East Atlantic is quantified using Metop satellite scatterometer and hindcast observatio…

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.ME2015★ 82 cited

Cross-validatory extreme value threshold selection and uncertainty with application to ocean storm severity

Paul Northrop, Nicolas Attalides, Philip Jonathan

Designs conditions for marine structures are typically informed by threshold-based extreme value analyses of oceanographic variables, in which excesses of a high threshold are mode…

stat.ME2013

Bayes linear variance structure learning for inspection of large scale physical systems

David Randell, Michael Goldstein, Philip Jonathan

Modelling of inspection data for large scale physical systems is critical to assessment of their integrity. We present a general method for inference about system state and associa…