The turning arcs: a computationally efficient algorithm to simulate isotropic vector-valued Gaussian random fields on the d-sphere

Author:

Alegría Alfredo,Emery Xavier,Lantuéjoul Christian

Funder

Fondo Nacional de Desarrollo Científico y Tecnológico

Fondo de Fomento al Desarrollo Científico y Tecnológico

Publisher

Springer Science and Business Media LLC

Subject

Computational Theory and Mathematics,Statistics, Probability and Uncertainty,Statistics and Probability,Theoretical Computer Science

Reference44 articles.

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

3. Arafat, M., Gregori, P., Porcu, E.: Schoenberg coefficients and curvature at the origin of continuous isotropic definite kernels on the sphere (2018). arXiv:1807.02363v1

4. Berry, A.C.: The accuracy of the Gaussian approximation to the sum of independent variates. Trans. Am. Math. Soc. 49(1), 122–136 (1941)

5. Chilès, J.-P., Delfiner, P.: Geostatistics: Modeling Spatial Uncertainty. John Wiley and Sons, New York (2012)

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