Bayesian Maximum Entropy
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-85040-1_50
Reference95 articles.
1. Adam-Poupart A, Brand A, Fournier M, Jerrett M, Smargiassi A (2014) Spatiotemporal modeling of ozone levels in Quebec (Canada): a comparison of kriging, Land-Use Regression (LUR), and combined Bayesian maximum entropy-LUR approaches. Environ Health Perspect 122:970–976
2. Angulo J, Yu H-L, Langousis A, Kolovos A, Wang J, Madrid AE, Christakos G (2013) Spatiotemporal infectious disease modeling: a BME-SIR approach. PLoS One 8:e72168
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4. Bayat B, Nasseri M, Naser G (2014) Improving Bayesian maximum entropy and ordinary Kriging methods for estimating precipitations in a large watershed: a new cluster-based approach. Can J Earth Sci 51:43–55
5. Beckerman BS, Jerrett M, Serre M, Martin RV, Lee SJ, van Donkelaar A, Ross Z, Su J, Burnett RT (2013) A hybrid approach to estimating national scale spatiotemporal variability of PM2.5 in the contiguous United States. Environ Sci Technol 47:7233–7241
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