Bayesian design for minimizing prediction uncertainty in bivariate spatial responses with applications to air quality monitoring

DOI10.1002/bimj.202100386zbMath1528.62078arXiv2001.08308MaRDI QIDQ6183910

James M. McGree, Werner G. Müller, S. G. J. Senarathne

Publication date: 4 January 2024

Published in: Biometrical Journal (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2001.08308

zbMATH Keywords

entropyspatial dependencecopula modelsbivariate response modelsgeneralized linear spatial models

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Cites Work

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• A Generalized Estimating Equations Approach for Spatially Correlated Binary Data: Applications to the Analysis of Neuroimaging Data
• Optimal Bayesian Design by Inhomogeneous Markov Chain Simulation
• On Information and Sufficiency
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