Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Random forest estimation of conditional distribution functions and
  conditional quantiles   We propose a theoretical study of two realistic estimators of conditional
distribution functions and conditional quantiles using random forests. The
estimation process uses the bootstrap samples generated from the original
dataset when constructing the forest. Bootstrap samples are reused to define
the first estimator, while the second requires only the original sample, once
the forest has been built. We prove that both proposed estimators of the
conditional distribution functions are consistent uniformly a.s. To the best of
our knowledge, it is the first proof of consistency including the bootstrap
part. We also illustrate the estimation procedures on a numerical example.

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The categories of this paper are: nucl-ex
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The categories of this paper are: acc-phys
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The categories of this paper are: comp-gas
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The categories of this paper are: atom-ph
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The categories of this paper are: cond-mat
9
The categories of this paper are: nlin
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The categories of this paper are: bayes-an
31
The categories of this paper are: ao-sci
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The categories of this paper are: math-ph
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The categories of this paper are: supr-con
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The categories of this paper are: adap-org
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The categories of this paper are: q-alg
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The categories of this paper are: chem-ph
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The categories of this paper are: solv-int
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The categories of this paper are: gr-qc
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The categories of this paper are: hep-lat