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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...
Tallennettuna:
| Julkaisussa: | Atmosphere (Basel) |
|---|---|
| Päätekijät: | , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
2020
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| Aiheet: | |
| Linkit: | 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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