A Bayesian Kriged Kalman Model for Short-Term Forecasting of Air Pollution Levels

DOI10.1111/j.1467-9876.2005.00480.xzbMath1490.62397OpenAlexW2115513183MaRDI QIDQ5757753

Kanti V. Mardia, Sujit K. Sahu

Publication date: 7 September 2007

Published in: Journal of the Royal Statistical Society Series C: Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1467-9876.2005.00480.x

Mathematics Subject Classification ID

Inference from spatial processes (62M30) Applications of statistics to environmental and related topics (62P12) Bayesian inference (62F15)

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Cites Work

• Bayesian forecasting and dynamic models.
• Dynamic Models for Spatiotemporal Data
• Principal warps: thin-plate splines and the decomposition of deformations
• A Latent Gaussian Markov Random-Field Model for Spatiotemporal Rainfall Disaggregation
• Venezuelan Rainfall Data Analysed by Using a Bayesian Space–time Model
• Objective Bayesian Analysis of Spatially Correlated Data

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