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Random forests is a common non-parametric regression technique which performs well for mixed-type unordered data and irrelevant features, while being robust to monotonic variable transformations.
Random forests
L. Breiman · 2001
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Quantile regression forests
N. Meinshausen · 2006
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Nonparametric econometrics: theory and practice
Q. Li and J. S. Racine · 2007
Earlier work this paper cites.
Galsim: The modular galaxy image simulation toolkit
B. Rowe, M. Jarvis, R. Mandelbaum, G. M. Bernstein, J. Bosch, M. Simet, J. E. Meyers, T. Kacprzak, R. Nakajima, J. Zuntz, et al · 2015
Cited alongside, same era.
Random forests for functional covariates
A. Möller, G. Tutz, and J. Gertheiss · 2016
Cited alongside, same era.
T. Hothorn and A. Zeileis · 2017
Cited alongside, same era.
An assessment of photometric redshift pdf performance in the context of lsst
L.-D. P. R. W. Group
Cited in the paper.
Converting high-dimensional regression to high-dimensional conditional density estimation
R. Izbicki and A. B. Lee · 2017
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R. Izbicki, A. B. Lee, and T. Pospisil · 2018
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