3 papers
math.ST2024
A note on the geodesic normal distribution on the sphere
José E. Chacón, Andrea Meilán-Vila
This paper presents an alternative formulation of the geodesic normal distribution on the sphere, building on the work of Hauberg (2018). While the isotropic version of this distri…
physics.flu-dyn2024
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…
stat.ME2024
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…