8 citations · 14 across the 4 of their papers we have counts for
4 papers
Machine-learned flow estimation with sparse data -- exemplified for the rooftop of a UAV vertiport
Chang Hou, Luigi Marra, Guy Y. Cornejo Maceda +9
We propose a physics-informed data-driven framework for urban wind estimation. This framework validates and incorporates the Reynolds number independence for flows under various wo…
Kernel density estimation with polyspherical data and its applications
Eduardo García-Portugués, Andrea Meilán-Vila
A kernel density estimator for data on the polysphere , with , is presented in this paper. We derive the…
A goodness-of-fit test for regression models with spatially correlated errors
Andrea Meilán-Vila, Jean D. Opsomer, Mario Francisco-Fernández +1
The problem of assessing a parametric regression model in the presence of spatial correlation is addressed in this work. For that purpose, a goodness-of-fit test based on a -d…
Nonparametric estimation of circular trend surfaces with application to wave directions
Andrea Meilán-Vila, Rosa M. Crujeiras, Mario Francisco-Fernández
In oceanography, modeling wave fields requires the use of statistical tools capable of handling the circular nature of the {data measurements}. An important issue in ocean wave ana…