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Unifying Compactly Supported and Matern Covariance Functions in Spatial
  Statistics

Unifying Compactly Supported and Matern Covariance Functions in Spatial Statistics

6 August 2020
M. Bevilacqua
Christian Caamaño-Carrillo
Emilio Porcu
ArXivPDFHTML

Papers citing "Unifying Compactly Supported and Matern Covariance Functions in Spatial Statistics"

9 / 9 papers shown
Title
Compatibility of Space-Time Kernels with Full, Dynamical, or Compact
  Support
Compatibility of Space-Time Kernels with Full, Dynamical, or Compact Support
Tarik Faouzi
Reinhard Furrer
Emilio Porcu
14
0
0
12 Jun 2023
The Matérn Model: A Journey through Statistics, Numerical Analysis and
  Machine Learning
The Matérn Model: A Journey through Statistics, Numerical Analysis and Machine Learning
Emilio Porcu
M. Bevilacqua
R. Schaback
Chris J. Oates
34
14
0
05 Mar 2023
Hybrid Parametric Classes of Isotropic Covariance Functions for Spatial
  Random Fields
Hybrid Parametric Classes of Isotropic Covariance Functions for Spatial Random Fields
Alfredo Alegría
Fabián Ramírez
Emilio Porcu
11
2
0
13 Jan 2023
Pitfalls of Climate Network Construction: A Statistical Perspective
Pitfalls of Climate Network Construction: A Statistical Perspective
Moritz Haas
B. Goswami
U. V. Luxburg
19
4
0
05 Nov 2022
Nonseparable Space-Time Stationary Covariance Functions on Networks
  cross Time
Nonseparable Space-Time Stationary Covariance Functions on Networks cross Time
Emilio Porcu
P. White
M. Genton
15
2
0
05 Aug 2022
The periodic zeta covariance function for Gaussian process regression
The periodic zeta covariance function for Gaussian process regression
Giacomo Petrillo
15
0
0
04 Aug 2022
Convergence Arguments to Bridge Cauchy and Matérn Covariance Functions
Convergence Arguments to Bridge Cauchy and Matérn Covariance Functions
Tarik Faouzi
Emilio Porcu
I. Kondrashuk
M. Bevilacqua
15
2
0
25 Jul 2022
The Gauss Hypergeometric Covariance Kernel for Modeling Second-Order
  Stationary Random Fields in Euclidean Spaces: its Compact Support, Properties
  and Spectral Representation
The Gauss Hypergeometric Covariance Kernel for Modeling Second-Order Stationary Random Fields in Euclidean Spaces: its Compact Support, Properties and Spectral Representation
Xavier Emery
Alfredo Alegría
16
11
0
23 Jan 2021
LASSO estimation for spherical autoregressive processes
LASSO estimation for spherical autoregressive processes
Alessia Caponera
C. Durastanti
Anna Vidotto
26
6
0
26 Nov 2019
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