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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Detalles Bibliográficos
Autores principales: Zhang, Tianyu, Geng, Guannan, Liu, Yang, Chang, Howard H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8315111/
https://www.ncbi.nlm.nih.gov/pubmed/34322279
http://dx.doi.org/10.3390/atmos11111233

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