Karhunen–Loève expansions for axially symmetric Gaussian processes: modeling strategies and $$L^2$$ approximations-Reference-Cited by-同舟云学术

Karhunen–Loève expansions for axially symmetric Gaussian processes: modeling strategies and $$L^2$$ approximations

Published:2020-07-21 Issue:11 Volume:34 Page:1953-1965
ISSN:1436-3240
Container-title:Stochastic Environmental Research and Risk Assessment
language:en
Short-container-title:Stoch Environ Res Risk Assess

Author:

Alegría Alfredo,Cuevas-Pacheco Francisco

Funder

Fondo Nacional de Desarrollo Científico y Tecnológico

Publisher

Springer Science and Business Media LLC

Subject

General Environmental Science,Safety, Risk, Reliability and Quality,Water Science and Technology,Environmental Chemistry,Environmental Engineering

Link

http://link.springer.com/content/pdf/10.1007/s00477-020-01839-4.pdf

Reference37 articles.

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2. Alegria A, Cuevas F, Diggle P, Porcu E (2018) A family of covariance functions for random fields on spheres. CSGB Research Reports, Department of Mathematics, Aarhus University

3. Alegría A, Emery X, Lantuéjoul C (2020) The turning arcs: a computationally efficient algorithm to simulate isotropic vector-valued Gaussian random fields on the $$d$$-sphere. Stat Comput. https://doi.org/10.1007/s11222-020-09952-8

4. Alegría A, Porcu E, Furrer R, Mateu J (2019) Covariance functions for multivariate Gaussian fields evolving temporally over planet earth. Stoch Env Res Risk Assess 33(8–9):1593–1608

5. Bissiri PG, Peron AP, Porcu E (2020) Strict positive definiteness under axial symmetry on the sphere. Stoch Env Res Risk Assess 34:723–732

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