Application of Bayesian Additive Regression Trees for Estimating Daily Concentrations of PM2.5 Components
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DOI: 10.3390/atmos11111233
Abstract: 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… read more here.
Keywords: bart; daily concentrations; regression; pm2 components ... See more keywords