Covariance Modeling for Multivariate Spatial Processes Based on Separable Approximations

DOI10.1007/978-3-319-91143-4_23zbMath1397.62192OpenAlexW2860220342MaRDI QIDQ4689216

Rafael S. Erbisti, Thaís C. O. Fonseca, Mariane B. Alves

Publication date: 15 October 2018

Published in: Springer Proceedings in Mathematics & Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-91143-4_23

zbMATH Keywords

predictive performanceKronecker productlikelihood approximationmultivariate spatial processnonseparable covariance

Mathematics Subject Classification ID

Directional data; spatial statistics (62H11) Analysis of variance and covariance (ANOVA) (62J10)

Uses Software

• CODA

Cites Work

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• Cross-covariance functions for multivariate random fields based on latent dimensions
• Strictly Proper Scoring Rules, Prediction, and Estimation
• Bayesian survival analysis

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