1 citations · 4 across the 5 of their papers we have counts for
5 papers
Generative modelling of multivariate geometric extremes using normalising flows
Lambert De Monte, Raphaël Huser, Ioannis Papastathopoulos +1
Leveraging the recently emerging geometric approach to multivariate extremes and the flexibility of normalising flows on the hypersphere, we propose a principled deep-learning-base…
Bayesian inference of grid cell firing patterns using Poisson point process models with latent oscillatory Gaussian random fields
Ioannis Papastathopoulos, Graeme Auld, Finn Lindgren +2
Questions about information encoded by the brain demand statistical frameworks for inferring relationships between neural firing and features of the world. The landmark discovery o…
Time series conditional extremes
Graeme Auld, Ioannis Papastathopoulos
Accurate modelling of the joint extremal dependence structure within a stationary time series is a challenging problem that is important in many applications.\ Several previous app…
Decomposable Tail Graphical Models
Adrian Casey, Ioannis Papastathopoulos
We develop an asymptotic theory for extremes in decomposable graphical models by presenting results applicable to a range of extremal dependence types. Specifically, we investigate…
Changes in the distribution of observed annual maximum temperatures in Europe
Graeme Auld, Gabriele Hegerl, Ioannis Papastathopoulos
In this study we consider the problem of detecting and quantifying changes in the distribution of the annual maximum daily maximum temperature (TXx) in a large gridded data set of…