Asymptotically equivalent prediction in multivariate geostatistics-Reference-Cited by-同舟云学术

Asymptotically equivalent prediction in multivariate geostatistics

Published:2022-11-01 Issue:4 Volume:28 Page:
ISSN:1350-7265
Container-title:Bernoulli
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Short-container-title:Bernoulli

Author:

Bachoc François¹,Porcu Emilio²,Bevilacqua Moreno³,Furrer Reinhard⁴,Faouzi Tarik⁵

Affiliation:

1. Institut de mathématique, UMR5219; Université de Toulouse; CNRS, UPS IMT, F-31062 Toulouse Cedex 9, France

2. Department of Mathematics, Khalifa University, Abu Dhabi, The United Arab Emirates; School of Computer Science and Statistics, Trinity College, Dublin

3. Facultad de Ingenieria y Ciencias, Universidad Adolfo Ibáñez, Viña del Mar, Chile; ANID-Millennium Science Initiative Program-Millennium Nucleus Center for the Discovery of Structures in Complex Data

4. Department of Mathematics and Department of Computational Science, University of Zurich, 8057, Zurich, Switzerland

5. Department of Statistics, Universidad del Biobio, 4081112, Conception, Chile

Publisher

Bernoulli Society for Mathematical Statistics and Probability

Subject

Statistics and Probability

Reference46 articles.

1. Bevilacqua, M., Faouzi, T., Furrer, R. and Porcu, E. (2019). Estimation and prediction using generalized Wendland covariance functions under fixed domain asymptotics. Ann. Statist. 47 828–856. 10.1214/17-AOS1652

2. Porcu, E., Bevilacqua, M. and Genton, M.G. (2016). Spatio-temporal covariance and cross-covariance functions of the great circle distance on a sphere. J. Amer. Statist. Assoc. 111 888–898. 10.1080/01621459.2015.1072541

3. Wendland, H. (1995). Piecewise polynomial, positive definite and compactly supported radial functions of minimal degree. Adv. Comput. Math. 4 389–396. 10.1007/BF02123482

4. Abramowitz, M. and Stegun, I.A., eds. (1966). Handbook of Mathematical Functions, with Formulas, Graphs, and Mathematical Tables. New York: Dover.

5. Alegría, A. and Porcu, E. (2017). The dimple problem related to space-time modeling under the Lagrangian framework. J. Multivariate Anal. 162 110–121. 10.1016/j.jmva.2017.09.001

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