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Methods based on Bayesian decision tree ensembles have proven valuable in constructing high-quality predictions, and are particularly attractive in certain settings because they encourage low-order interaction effects.
A Bayesian analysis of some nonparametric problems
Ferguson, T. S. (1973) · 1973
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Hedonic prices and demand for clean air
Harrison, D. and Rubinfeld, D. L. (1978) · 1978
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Multivariate adaptive regression splines
Friedman, J. H. (1991) · 1991
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Slice sampling
Neal, R. M. (2003) · 2003
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Thin plate regression splines
Wood, S. N. (2003) · 2003
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Hierarchical Dirichlet processes
Teh, Y. W., Jordan, M. I., Beal, M. J., and Blei, D. M. (2006) · 2006
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SPAM: Sparse additive models
Ravikumar, P., Liu, H., Lafferty, J., and Wasserman, L. (2007) · 2007
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Tuning parameter selectors for the smoothly clipped absolute deviation method
Wang, H., Li, R., and Tsai, C.-L. (2007) · 2007
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Detecting statistical interactions with additive groves of trees
Sorokina, D., Caruana, R., Riedewald, M., and Fink, D. (2008) · 2008
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BART: Bayesian additive regression trees
Chipman, H. A., George, E. I., and McCulloch, R. E. (2010) · 2010
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Variable selection using adaptive nonlinear interaction structures in high dimensions
Radchenko, P. and James, G. M. (2010) · 2010
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Soft decision trees
Irsoy, O., Yildiz, O. T., and Alpaydin, E. (2012) · 2012
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A lasso for hierarchical interactions
Bien, J., Taylor, J., and Tibshirani, R. (2013) · 2013
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Bayesian treed response surface models
Chipman, H., George, E. I., Gramacy, R. B., and McCulloch, R. (2013) · 2013
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Variable selection for BART: An application to gene regulation
Bleich, J., Kapelner, A., George, E. I., and Jensen, S. T. (2014) · 2014
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Learning interactions via hierarchical group-lasso regularization
Lim, M. and Hastie, T. (2015) · 2015
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Nonparametric survival analysis using Bayesian additive regression trees (BART)
Sparapani, R. A., Logan, B. R., McCulloch, R. E., and Laud, P. W. (2016) · 2016
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Sparse additive Gaussian process with soft interactions
Vo, G. and Pati, D. (2016) · 2016
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Hahn, P. R., Murray, J. S., and Carvalho, C. (2017) · 2017
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Generalized additive models
Hastie, T. J. (2017) · 2017
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A review of tree-based Bayesian methods
Linero, A. R. (2017) · 2017
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Cross-validation for selecting a model selection procedure
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Bayesian regression trees for high dimensional prediction and variable selection
Linero, A. R. (2016) · 2016
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Efficient Metropolis-Hastings proposal mechanisms for Bayesian regression tree models
Pratola, M. (2016) · 2016
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Linero, A. R. and Yang, Y. (2017) · 2017
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Log-linear Bayesian additive regression trees for categorical and count responses
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Posterior concentration for Bayesian regression trees and their ensembles
Rockova, V. and van der Pas, S. (2017) · 2017
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iterative random forests to discover predictive and stable high-order interactions
Basu, S., Kumbier, K., Brown, J. B., and Yu, B. (2018) · 2018
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Functional response regression with funbart: an analysis of patient-specific stillbirth risk
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