2 citations · 2 across the 2 of their papers we have counts for
3 papers
stat.ME2021★ 2 cited
D-STEM v2: A Software for Modelling Functional Spatio-Temporal Data
Yaqiong Wang, Francesco Finazzi, Alessandro Fassò
Functional spatio-temporal data naturally arise in many environmental and climate applications where data are collected in a three-dimensional space over time. The MATLAB D-STEM v1…
stat.AP2019
An anisotropic model for global climate data
Nil Venet, Alessandro Fassò
We present a new, elementary way to obtain axially symmetric Gaussian processes on the sphere, in order to accommodate for the directional anisotropy of global climate data in geos…
stat.AP2018
Statistical harmonization and uncertainty assessment in the comparison of satellite and radiosonde climate variables
Francesco Finazzi, Alessandro Fassò, Fabio Madonna +3
Satellite product validation is key to ensure the delivery of quality products for climate and weather applications. To do this, a fundamental step is the comparison with other ins…