BART-package

Bayesian Additive Regression Trees

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

References

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.

Chipman H., George E. and McCulloch R. (1998) Bayesian CART Model Search. JASA, 93 , 935-948. doi:10.1080/01621459.1998.10473750.

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.

Gramacy R. and Polson N. (2012) Simulation-based regularized logistic regression. Bayesian Analysis, 7 , 567-590. doi:10.1214/12-ba719.

Albert J. and Chib S. (1993) Bayesian Analysis of Binary and Polychotomous Response Data. JASA, 88 , 669-679. doi:10.1080/01621459.1993.10476321.

De Waal T., Pannekoek J. and Scholtus S. (2011) Handbook of statistical data editing and imputation. John Wiley & Sons, Hoboken, NJ.

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.

  • Maintainer: Rodney Sparapani
  • License: GPL (>= 2)
  • Last published: 2024-06-21

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