63 citations · 227 across the 34 of their papers we have counts for
5 papers · 1 filter
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…
Improving Bayesian Local Spatial Models in Large Data Sets
Amanda Lenzi, Stefano Castruccio, Haavard Rue +1
Environmental processes resolved at a sufficiently small scale in space and time will inevitably display non-stationary behavior. Such processes are both challenging to model and c…
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…
Non-stationary Gaussian models with physical barriers
Haakon Bakka, Jarno Vanhatalo, Janine Illian +2
The classical tools in spatial statistics are stationary models, like the Matérn field. However, in some applications there are boundaries, holes, or physical barriers in the study…
Estimation and extrapolation of time trends in registry data---Borrowing strength from related populations
Andrea Riebler, Leonhard Held, Håvard Rue
To analyze and project age-specific mortality or morbidity rates age-period-cohort (APC) models are very popular. Bayesian approaches facilitate estimation and improve predictions…