An anisotropic and inhomogeneous hidden Markov model for the classification of water quality spatio-temporal series on a national scale: the case of Scotland

DOI10.1002/ENV.2427zbMATH Open1545.62944MaRDI QIDQ6625832

Christian Birkel, L. Spezia, Mark J. Brewer

Publication date: 28 October 2024

Published in: Environmetrics (Search for Journal in Brave)

zbMATH Keywords

Potts modelammoniaphosphorusnitrateharmonised monitoring schemepseudo-likelihood information criterion

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12)

Cites Work

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• Practical Bayesian Density Estimation Using Mixtures of Normals
• Hidden Markov Models and Disease Mapping
• Markov chain Monte Carlo Estimation of Classical and Dynamic Switching and Mixture Models
• An efficient Markov chain Monte Carlo method for distributions with intractable normalising constants
• Bayesian modelling of rainfall data by using non-homogeneous hidden Markov models and latent Gaussian variables

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