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Application of Bayesian Additive Regression Trees for Estimating Daily Concentrations of PM(2.5) Components
Bayesian additive regression tree (BART) is a recent statistical method that combines ensemble learning and nonparametric regression. BART is constructed under a probabilistic framework that also allows for model-based prediction uncertainty quantification. We evaluated the application of BART in pr...
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| Publicado en: | Atmosphere (Basel) |
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| Autores principales: | , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
2020
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8315111/ https://ncbi.nlm.nih.gov/pubmed/34322279 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/atmos11111233 |
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