activity
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

collaborators

18 papers

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…

physics.ao-ph2023★ 7 cited

Avoiding methane emission rate underestimates when using the divergence method

Clayton Roberts, Rutger IJzermans, David Randell +5

Methane is a powerful greenhouse gas, and a primary target for mitigating climate change in the short-term future due to its relatively short atmospheric lifetime and greater abili…

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…

physics.ao-ph2022

Uncertainties in estimating the effect of climate change on 100-year return value for significant wave height

Kevin Ewans, Philip Jonathan

Estimating climate effects on future ocean storm severity is plagued by large uncertainties, yet for safe design and operation of offshore structures, best possible estimates of cl…

math.ST2022

Extremal Characteristics of Conditional Models

Stan Tendijck, Jonathan Tawn, Philip Jonathan

Conditionally specified models are often used to describe complex multivariate data. Such models assume implicit structures on the extremes. So far, no methodology exists for calcu…

stat.AP2022★ 7 cited

Statistical estimation of spatial wave extremes for tropical cyclones from small data samples: validation of the STM-E approach using long-term synthetic cyclone data for the Caribbean Sea

Ryota Wada, Jeremy Rohmer, Yann Krien +1

Occurrences of tropical cyclones at a location are rare, and for many locations, only short periods of observations or hindcasts are available. Hence, estimation of return values (…