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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8315111/ https://www.ncbi.nlm.nih.gov/pubmed/34322279 http://dx.doi.org/10.3390/atmos11111233 |