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stat.APJun 27, 2019
authors
  • Nil Venet
  • Alessandro Fassò
institutions
  • University of Bergamo
arXiv abstractPDF
paper

An anisotropic model for global climate data

arXiv:1906.11585

Abstract

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.

References in corpus (2)

  • Nonstationary covariance models for global data
  • Spatial variation of total column ozone on a global scale
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