Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Smooth bootstrapping of copula functionals   The smooth bootstrap for estimating copula functionals in small samples is
investigated. It can be used both to gauge the distribution of the estimator in
question and to augment the data. Issues arising from kernel density and
distribution estimation in the copula domain are addressed, such as how to
avoid the bounded domain, which bandwidth matrix to choose, and how the
smoothing can be carried out. Furthermore, we investigate how the smooth
bootstrap impacts the underlying dependence structure or the functionals in
question and under which conditions it does not. We provide specific examples
and simulations that highlight advantages and caveats of the approach.

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The categories of this paper are: gr-qc
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The categories of this paper are: adap-org
27
The categories of this paper are: comp-gas
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The categories of this paper are: supr-con
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The categories of this paper are: patt-sol
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The categories of this paper are: physics
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The categories of this paper are: econ
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The categories of this paper are: alg-geom
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The categories of this paper are: q-bio
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The categories of this paper are: dg-ga
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The categories of this paper are: nucl-ex
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The categories of this paper are: chem-ph
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The categories of this paper are: plasm-ph
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The categories of this paper are: ao-sci
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The categories of this paper are: nucl-th
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The categories of this paper are: hep-th