A Bayesian hierarchical spatio-temporal rainfall model

DOI10.1080/02664763.2018.1473347OpenAlexW2804712049MaRDI QIDQ5036498

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Publication date: 23 February 2022

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2018.1473347

zbMATH Keywords

time seriesrainfall forecastingformal propertiesrainfall versus elevation modelsequential kriging

Mathematics Subject Classification ID

Applications of statistics (62Pxx)

Uses Software

• BayesDA

Cites Work

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• Probabilistic quantitative precipitation field forecasting using a two-stage spatial model
• Interpolation of spatial data. Some theory for kriging
• Dynamical random-set modeling of concentrated precipitation in North America
• A Bayesian spatio-temporal geostatistical model with an auxiliary lattice for large datasets
• Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
• Venezuelan Rainfall Data Analysed by Using a Bayesian Space–time Model
• Objective Bayesian Analysis of Spatially Correlated Data
• A Bayesian Kriged Kalman Model for Short-Term Forecasting of Air Pollution Levels

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