4 citations · 6 across the 2 of their papers we have counts for
3 papers
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 Multi-Resolution Spatial Model for Large Datasets Based on the Skew-t Distribution
Felipe Tagle, Stefano Castruccio, Marc G. Genton
Large, non-Gaussian spatial datasets pose a considerable modeling challenge as the dependence structure implied by the model needs to be captured at different scales, while retaini…
A Stochastic Generator of Global Monthly Wind Energy with Tukey -and- Autoregressive Processes
Jaehong Jeong, Yuan Yan, Stefano Castruccio +1
Quantifying the uncertainty of wind energy potential from climate models is a very time-consuming task and requires a considerable amount of computational resources. A statistical…