Capturing multivariate spatial dependence: model, estimate and then predict

DOI10.1214/15-STS517zbMath1332.86009arXiv1507.08401WikidataQ58315076 ScholiaQ58315076MaRDI QIDQ254433

Walter Davis, Andrew Zammit-Mangion, Thomas Suesse, Sandy Burden, Payam Mokhtarian, Pavel N. Krivitsky, Noel Cressie

Publication date: 8 March 2016

Published in: Statistical Science (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1507.08401

zbMATH Keywords

nonstationarityasymmetric cross-covariance functionconditional approachfactor processlatent process

Mathematics Subject Classification ID

Directional data; spatial statistics (62H11) Applications of statistics to environmental and related topics (62P12) Geostatistics (86A32) Analysis of variance and covariance (ANOVA) (62J10)

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Uses Software

• spBayes
• FRK

Cites Work

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