Composite likelihood inference for multivariate Gaussian random fields

DOI10.1007/s13253-016-0256-3zbMath1347.62237OpenAlexW2471249198MaRDI QIDQ321453

Daira Velandia, Alfredo Alegria, Emilio Porcu, Moreno Bevilacqua

Publication date: 13 October 2016

Published in: Journal of Agricultural, Biological, and Environmental Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s13253-016-0256-3

zbMATH Keywords

geostatisticslarge datasetscross-covariance

Mathematics Subject Classification ID

Random fields; image analysis (62M40) Gaussian processes (60G15) Applications of statistics to environmental and related topics (62P12)

Related Items (6)

Guest editors' introduction to the special issue on ``Seismomatics: space-time analysis of natural or anthropogenic catastrophes ⋮ Stable Likelihood Computation for Gaussian Random Fields ⋮ Extending the Gneiting class for modeling spatially isotropic and temporally symmetric vector random fields ⋮ Asymmetric matrix-valued covariances for multivariate random fields on spheres ⋮ Likelihood-based inference for multivariate space-time wrapped-Gaussian fields ⋮ A hierarchical multivariate spatio-temporal model for clustered climate data with annual cycles

Uses Software

• gamair
• CompRandFld

Cites Work

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