Bayesian Spatial Prediction of Random Space-Time Fields With Application to Mapping PM2.5 Exposure
By B. M. G. Kibria, Li Sun, James V. Zidek, Nhu D. Le. 2002
69 citations recorded by the source corpus.
Subfields: Automotive Engineering, Economics and Econometrics, Health, Toxicology and Mutagenesis
View Paper: https://www.semanticscholar.org/paper/ba629b935cc7599f7e06082a9d0aafef10823666
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In Economics and Econometrics
Citations in the corpus
- Contending with space–time interaction in the spatial prediction of pollution: Vancouver's hourly ambient PM10 field (2002, methodology): “The method of moments developed by (Kibria et al., 2002) is used to estimate the model parameters.”