• Corpus ID: 195700011

An anisotropic model for global climate data

  title={An anisotropic model for global climate data},
  author={Nil Venet and Alessandro Fass{\`o}},
  journal={arXiv: Applications},
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 geostatistical analysis. 


Spherical Process Models for Global Spatial Statistics.
  • J. Jeong, M. Jun, M. Genton
  • Mathematics
    Statistical science : a review journal of the Institute of Mathematical Statistics
  • 2017
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