Bayesian Additive Regression Trees
To avoid duplication, the main references that this package relies upon appear here only. For more information see Sparapani, Spanbauer and McCulloch doi:10.18637/jss.v097.i01. package
Sparapani R., Spanbauer C. and McCulloch R. (2021) Nonparametric Machine Learning and Efficient Computation with Bayesian Additive Regression Trees: The BART R Package. JSS, 97 , 1-66. doi:10.18637/jss.v097.i01.
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Chipman H., George E., and McCulloch R. (2010) Bayesian Additive Regression Trees. Annals of Applied Statistics, 4 , 266-298. doi:10.1214/09-AOAS285.
Sparapani R., Logan B., McCulloch R. and Laud P. (2016) Nonparametric Survival Analysis Using Bayesian Additive Regression Trees (BART). Statistics in Medicine, 35 , 2741-2753. doi:10.1002/sim.6893.
Sparapani R., Logan B., McCulloch R. and Laud P. (2020) Nonparametric Competing Risks Analysis Using Bayesian Additive Regression Trees (BART). SMMR, 29 , 57-77. doi:10.1177/0962280218822140.
Sparapani R., Rein L., Tarima S., Jackson T. and Meurer J. (2020) Non-Parametric Recurrent Events Analysis with BART and an Application to the Hospital Admissions of Patients with Diabetes. Biostatistics, 21 , 69-85. doi:10.1093/biostatistics/kxy032.
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Friedman J. (1991) Multivariate adaptive regression splines. Annals of Statistics, 19 , 1-67.
Friedman J. (2001) Greedy Function Approximation: A Gradient Boosting Machine. Annals of Statistics, 29 , 1189-1232.
Holmes C. and Held L. (2006) Bayesian auxiliary variable models for binary and multinomial regression. Bayesian Analysis, 1 , 145-168. doi:10.1214/06-ba105.
Linero A. (2018) Bayesian regression trees for high dimensional prediction and variable selection. JASA, 113 , 626-636. doi:10.1080/01621459.2016.1264957.
Useful links