Erik Vanem: A Bayesian-hierarchical space-time model for significant wave height data

This paper presents a Bayesian hierarchical space-time stochastic model for significant wave height. The model has been fitted by data for an area in the North Atlantic ocean and aims at describing the temporal and spatial variability of significant wave height in this area. It could also serve as foundation for further extensions used for long-term prediction of significant wave height and future return periods of extreme significant wave heights. The main model and preliminary simulation results will be presented. Furthermore, a discussion of possible model extensions and future work will be included.

Erik Vanem is at the Statistics division of the Department of Mathematics at UiO