Adaptive smoothness of function estimation in the three classical problems of the non-parametrical statistic in the three classical problems of the non-parametrical statistic

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Hauptverfasser: Formica, M. R., Ostrovsky, E., Sirota, L.
Format: Preprint
Veröffentlicht: 2024
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author Formica, M. R.
Ostrovsky, E.
Sirota, L.
author_facet Formica, M. R.
Ostrovsky, E.
Sirota, L.
contents We offer in this short report the so-called adaptive functional smoothness estimation in the Hilbert space norm sense in the three classical problems of non-parametrical statistic: regression, density and spectral (density) function measurement (estimation).
format Preprint
id arxiv_https___arxiv_org_abs_2409_00491
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Adaptive smoothness of function estimation in the three classical problems of the non-parametrical statistic in the three classical problems of the non-parametrical statistic
Formica, M. R.
Ostrovsky, E.
Sirota, L.
Statistics Theory
We offer in this short report the so-called adaptive functional smoothness estimation in the Hilbert space norm sense in the three classical problems of non-parametrical statistic: regression, density and spectral (density) function measurement (estimation).
title Adaptive smoothness of function estimation in the three classical problems of the non-parametrical statistic in the three classical problems of the non-parametrical statistic
topic Statistics Theory
url https://arxiv.org/abs/2409.00491