A New Class of Spatial Covariance Functions Generated by Higher-order Kernels

Author(s):

Nafiseh Vafaei* , Jorge Mateu , Masoud Ganji , Mohammad Ghorbani

Message:
Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:

Covariance functions and variograms play a fundamental role in exploratory analysis and statistical modelling of spatial and spatio-temporal datasets. In this paper, we construct a new class of spatial covariance functions using the Fourier transform of some higher-order kernels. Moreover, we extend this class of spatial covariance functions to the spatio-temporal setting using the idea used in Ma (2003).

Keywords:

Bochner's theorem , characteristic function , covariance model , higher-order Kernels , spatial data

Language:
English
Published:
Journal of Statistical Research of Iran, Volume:17 Issue: 1, Winter and Spring 2020
Pages:
235 to 251
https://www.magiran.com/p2542446  
سامانه نویسندگان
  • Ganji، Masoud
    Author (3)
    Ganji, Masoud
    Full Professor Statistics and Applications, Mathematics Science, University of Mohaghegh Ardabili, اردبیل, Iran
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