Non-stationary environmental extremes

Emma Eastoe, David Randell, Jonathan Tawn, with Elena Zanini.

Infering Spatial and Temporal Variation in Extremes

Led by Paul Fearnhead and Jonathan Tawn, with Monika Kereszturi.

Locally-stationary energy time-series

Led by Idris Eckley and Becki Killick, with Ben Pickering: Use of wavelet-based changepoint methods to detect subtle features in high resolution signals, for application e.g. in acoustic sensing or in compression and interpretation of high-dimensional time-series.

Statistical down-scaling

Ross Towe (with Emma Eastoe, Nicolas Fourier and Jonathan Tawn, 2011-2015): Accommodating climate change effects from regional climate simualations within wave hindcasts for ocean design. Here's a recent poster on the impact of spatial dependency.

Extreme value analysis in ocean engineering

Yanyun Wu (with Jonathan Tawn, 2010-2015). We're currently trying to model the characteristics of extreme waves in shallow water. We're also interested in the effects of measurement scale on extreme quantile estimates; here's a recent talk. Next we hope to develop a (marginal) spatio-directional model for extremes.

Completed projects

Extreme value analysis

Jenny Wadsworth (with Jonathan Tawn 2009-2012): Developments in extreme value analysis. We wrote a paper for the Annals of Applied Statistics on scale transformation in extreme value analysis, in which optimal scale transformations for extremes of the ocean surface are explored. Jenny published subsequent articles on threshold selection, multivariate and spatial extremes.

Wavelet methods in change point analysis

Becki Killick (with Idris Eckley, 2008-2012): Wavelet methods for change point analysis. We wrote an article for Ocean Engineering on detection of changes in variance (i.e. significant wave height) of the ocean surface in the Gulf of Mexico during the 20th century, an article for the 2011 ISI conference, and a paper for the Annals of Applied Statistics.

Laplace approximations

Dan Reeve (with Jonathan Tawn and Paul Fearnhead, 2011-2012): Laplace approximations offer an alternative to MCMC simulation for Bayesian estimation.