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Modeling Temporally Evolving and Spatially Globally Dependent Data

Modeling Temporally Evolving and Spatially Globally Dependent Data

28 June 2017
Emilio Porcu
Alfredo Alegría
Reinhard Furrer
ArXiv (abs)PDFHTML

Papers citing "Modeling Temporally Evolving and Spatially Globally Dependent Data"

13 / 13 papers shown
Title
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
51
3
0
13 Jan 2023
The periodic zeta covariance function for Gaussian process regression
The periodic zeta covariance function for Gaussian process regression
Giacomo Petrillo
42
0
0
04 Aug 2022
Multivariate Gaussian Random Fields over Generalized Product Spaces
  involving the Hypertorus
Multivariate Gaussian Random Fields over Generalized Product Spaces involving the Hypertorus
François Bachoc
A. Peron
Emilio Porcu
41
3
0
22 Feb 2022
Functional Estimation of Anisotropic Covariance and Autocovariance
  Operators on the Sphere
Functional Estimation of Anisotropic Covariance and Autocovariance Operators on the Sphere
Alessia Caponera
Julien Fageot
Matthieu Simeoni
V. Panaretos
31
6
0
23 Dec 2021
D-STEM v2: A Software for Modelling Functional Spatio-Temporal Data
D-STEM v2: A Software for Modelling Functional Spatio-Temporal Data
Yaqiong Wang
F. Finazzi
A. Fassò
13
6
0
27 Jan 2021
SPHARMA approximations for stationary functional time series on the
  sphere
SPHARMA approximations for stationary functional time series on the sphere
Alessia Caponera
42
12
0
28 Sep 2020
Karhunen-Loève Expansions for Axially Symmetric Gaussian Processes:
  Modeling Strategies and $L^2$ Approximations
Karhunen-Loève Expansions for Axially Symmetric Gaussian Processes: Modeling Strategies and L2L^2L2 Approximations
Alfredo Alegría
F. Cuevas-Pacheco
10
5
0
03 Jul 2020
Spatiotemporal Multi-Resolution Approximations for Analyzing Global
  Environmental Data
Spatiotemporal Multi-Resolution Approximations for Analyzing Global Environmental Data
M. Appel
E. Pebesma
49
13
0
30 Jun 2020
The Turning Arcs: a Computationally Efficient Algorithm to Simulate
  Isotropic Vector-Valued Gaussian Random Fields on the $d$-Sphere
The Turning Arcs: a Computationally Efficient Algorithm to Simulate Isotropic Vector-Valued Gaussian Random Fields on the ddd-Sphere
Alfredo Alegría
Xavier Emery
Christian Lantuéjoul
44
16
0
30 Mar 2020
Towards a Complete Picture of Stationary Covariance Functions on Spheres
  Cross Time
Towards a Complete Picture of Stationary Covariance Functions on Spheres Cross Time
P. White
Emilio Porcu
27
8
0
11 Jul 2018
Schoenberg coefficients and curvature at the origin of continuous
  isotropic positive definite kernels on spheres
Schoenberg coefficients and curvature at the origin of continuous isotropic positive definite kernels on spheres
A. Arafat
P. Gregori
Emilio Porcu
19
12
0
06 Jul 2018
The dimple problem related to space-time modeling under the Lagrangian
  framework
The dimple problem related to space-time modeling under the Lagrangian framework
Alfredo Alegría
Emilio Porcu
42
19
0
28 Nov 2016
Regularity properties and simulations of Gaussian random fields on the
  Sphere cross Time
Regularity properties and simulations of Gaussian random fields on the Sphere cross Time
Jorge Clarke de La Cerda
Alfredo Alegría
Emilio Porcu
Jorge De La Cerda
30
38
0
09 Nov 2016
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