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:: Volume 17, Issue 1 (8-2020) ::
JSRI 2020, 17(1): 235-251 Back to browse issues page
A New Class of Spatial Covariance Functions Generated by Higher-order Kernels
Nafiseh Vafaei 1, Jorge Mateu2 , Masoud Ganji3 , Mohammad Ghorbani4
1- University of Mohaghegh Ardabili , n.vafaei@uma.ac.ir
2- Jaume I University
3- University of Mohaghegh Ardabili
4- Lulera University of Technology
Abstract:   (399 Views)
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.
Full-Text [PDF 792 kb]   (391 Downloads)    
Type of Study: Applicable | Subject: General
Received: 2022/11/20 | Accepted: 2023/02/26 | Published: 2020/08/22
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Vafaei N, Mateu J, Ganji M, Ghorbani M. A New Class of Spatial Covariance Functions Generated by Higher-order Kernels. JSRI 2020; 17 (1) :235-251
URL: http://jsri.srtc.ac.ir/article-1-419-en.html


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Volume 17, Issue 1 (8-2020) Back to browse issues page
مجله‌ی پژوهش‌های آماری ایران Journal of Statistical Research of Iran JSRI
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