activity
20172026
most citedModelling sub-daily precipitation extremes with the blended generalised extreme value distribution

19 citations · 20 across the 4 of their papers we have counts for

collaborators

5 papers

stat.ME2026

Cross Validation for the log Gaussian Cox Process

Hans Montcho, Håvard Rue, Finn Lindgren +4

The log Gaussian Cox Process (LGCP) is one of the most widely used models for the analysis of spatial point patterns. Although Bayesian methods and software for fitting LGCPs are n…

stat.AP2021★ 1 cited

Practical strategies for GEV-based regression models for extremes

Daniela Castro-Camilo, Raphaël Huser, Håvard Rue

The generalised extreme value (GEV) distribution is a three parameter family that describes the asymptotic behaviour of properly renormalised maxima of a sequence of independent an…

stat.AP2021★ 19 cited

Modelling sub-daily precipitation extremes with the blended generalised extreme value distribution

Silius M. Vandeskog, Sara Martino, Daniela Castro-Camilo +1

A new method is proposed for modelling the yearly maxima of sub-daily precipitation, with the aim of producing spatial maps of return level estimates. Yearly precipitation maxima a…

stat.AP2018

A spliced Gamma-Generalized Pareto model for short-term extreme wind speed probabilistic forecasting

Daniela Castro-Camilo, Raphaël Huser, Håvard Rue

Renewable sources of energy such as wind power have become a sustainable alternative to fossil fuel-based energy. However, the uncertainty and fluctuation of the wind speed derived…

stat.AP2017

Local likelihood estimation of complex tail dependence structures, applied to U.S. precipitation extremes

Daniela Castro-Camilo, Raphaël Huser

To disentangle the complex non-stationary dependence structure of precipitation extremes over the entire contiguous U.S., we propose a flexible local approach based on factor copul…