Strong limit theorems for empirical halfspace depth trimmed regions

Fuente: arXiv
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Autori principali: Ilienko, Andrii, Molchanov, Ilya, Turin, Riccardo
Natura: Preprint
Pubblicazione: 2023
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author Ilienko, Andrii
Molchanov, Ilya
Turin, Riccardo
author_facet Ilienko, Andrii
Molchanov, Ilya
Turin, Riccardo
contents We study empirical variants of the halfspace (Tukey) depth of a probability measure $μ$, which are obtained by replacing $μ$ with the corresponding weighted empirical measure. We prove analogues of the Marcinkiewicz--Zygmund strong law of large numbers and of the law of the iterated logarithm in terms of set inclusions and for the Hausdorff distance between the theoretical and empirical variants of depth trimmed regions. In the special case of $μ$ being the uniform distribution on a convex body $K$, the depth trimmed regions are convex floating bodies of $K$, and we obtain strong limit theorems for their empirical estimators.
format Preprint
id arxiv_https___arxiv_org_abs_2308_11393
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Strong limit theorems for empirical halfspace depth trimmed regions
Ilienko, Andrii
Molchanov, Ilya
Turin, Riccardo
Probability
Metric Geometry
Statistics Theory
60F15 52A21 60D05 62H12
We study empirical variants of the halfspace (Tukey) depth of a probability measure $μ$, which are obtained by replacing $μ$ with the corresponding weighted empirical measure. We prove analogues of the Marcinkiewicz--Zygmund strong law of large numbers and of the law of the iterated logarithm in terms of set inclusions and for the Hausdorff distance between the theoretical and empirical variants of depth trimmed regions. In the special case of $μ$ being the uniform distribution on a convex body $K$, the depth trimmed regions are convex floating bodies of $K$, and we obtain strong limit theorems for their empirical estimators.
title Strong limit theorems for empirical halfspace depth trimmed regions
topic Probability
Metric Geometry
Statistics Theory
60F15 52A21 60D05 62H12
url https://arxiv.org/abs/2308.11393