Optimal network design for Bayesian spatial prediction of multivariate non-Gaussian environmental data

DOI10.1080/02664763.2015.1100592OpenAlexW2296042898MaRDI QIDQ5138080

Firoozeh Rivaz

Publication date: 3 December 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2015.1100592

zbMATH Keywords

entropyair pollutionmultivariate spatial datalinear model of coregionalizationskew Gaussian processBayesian sampling design

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

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• Statistical Applications of the Multivariate Skew Normal Distribution
• The multivariate skew-normal distribution
• Spatio‐Temporal Design
• Multivariate spatial interpolation and exposure to air pollutants
• Designing and Integrating Composite Networks for Monitoring Multivariate Gaussian Pollution Fields
• A New Spatial Skew-Normal Random Field Model

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