Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Kernel-smoothed conditional quantiles of randomly censored functional
  stationary ergodic data   This paper, investigates the conditional quantile estimation of a scalar
random response and a functional random covariate (i.e. valued in some
infinite-dimensional space) whenever {\it functional stationary ergodic data
with random censorship} are considered. We introduce a kernel type estimator of
the conditional quantile function. We establish the strong consistency with
rate of this estimator as well as the asymptotic normality which induces a
confidence interval that is usable in practice since it does not depend on any
unknown quantity. An application to electricity peak demand interval prediction
with censored smart meter data is carried out to show the performance of the
proposed estimator.

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The categories of this paper are: hep-ph
37
The categories of this paper are: supr-con
12
The categories of this paper are: nucl-th
36
The categories of this paper are: cmp-lg
14
The categories of this paper are: math-ph
6
The categories of this paper are: astro-ph
29
The categories of this paper are: funct-an
11
The categories of this paper are: hep-lat
10
The categories of this paper are: q-bio
23
The categories of this paper are: solv-int
34
The categories of this paper are: chem-ph
20
The categories of this paper are: acc-phys
15
The categories of this paper are: nucl-ex
35
The categories of this paper are: mtrl-th
31
The categories of this paper are: ao-sci
33
The categories of this paper are: plasm-ph