A Bayesian hierarchical model for multiple imputation of urban spatio-temporal groundwater levels

DOI10.1016/j.spl.2018.07.023zbMath1407.62417OpenAlexW2887761927MaRDI QIDQ1726749

Terri S. Hogue, Kimberly F. Manago, Amanda S. Hering, Aaron T. Porter

Publication date: 20 February 2019

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.spl.2018.07.023

zbMATH Keywords

multiple imputationBayesian hierarchical modelseparable space-time

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12) Bayesian problems; characterization of Bayes procedures (62C10)

Cites Work

• Multiple Imputation for Multivariate Data with Missing and Below‐Threshold Measurements: Time‐Series Concentrations of Pollutants in the Arctic
• Hierarchical Models in Environmental Science

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