A multiscale spatially varying coefficient model for regional analysis of topsoil geochemistry

DOI10.1007/s13253-019-00379-xOpenAlexW2977043643WikidataQ120889351 ScholiaQ120889351MaRDI QIDQ782724

Hyojoong Kim, Vinnam Kim, Keunseo Kim, Hee-Young Kim

Publication date: 28 July 2020

Published in: Journal of Agricultural, Biological, and Environmental Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s13253-019-00379-x

zbMATH Keywords

multiscale modelingBayesian hierarchical modelingarsenicspatially varying coefficient process

Mathematics Subject Classification ID

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

Cites Work

• From sources to biomarkers: A hierarchical Bayesian approach for human exposure modeling
• Regional Spatial Modeling of Topsoil Geochemistry
• Relating Ambient Particulate Matter Concentration Levels to Mortality Using an Exposure Simulator
• Spatial Modeling With Spatially Varying Coefficient Processes
• Bayesian Measures of Model Complexity and Fit
• Strictly Proper Scoring Rules, Prediction, and Estimation
• Prior distributions for variance parameters in hierarchical models (Comment on article by Browne and Draper)

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