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Main Authors: Francisci, Giacomo, Nieto-Reyes, Alicia, Agostinelli, Claudio
Format: Preprint
Published: 2019
Subjects:
Online Access:https://arxiv.org/abs/1909.02739
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author Francisci, Giacomo
Nieto-Reyes, Alicia
Agostinelli, Claudio
author_facet Francisci, Giacomo
Nieto-Reyes, Alicia
Agostinelli, Claudio
contents The simplicial depth, like other relevant multivariate statistical data depth functions, vanishes right outside the convex hull of the support of the distribution with respect to which the depth is computed. This is problematic when it is required to differentiate among points outside the convex hull of the distribution support, with respect to which the depth is computed, based on their depth values. We provide the first proposal for simplicial depth which do not vanish right outside the convex hull of the distribution. The properties of the proposal and of the corresponding estimator are studied theoretically and by means of Monte Carlo simulations and analysis of datasets.
format Preprint
id arxiv_https___arxiv_org_abs_1909_02739
institution arXiv
publishDate 2019
record_format arxiv
spellingShingle Generalization of the simplicial depth: no vanishment outside the convex hull of the distribution support
Francisci, Giacomo
Nieto-Reyes, Alicia
Agostinelli, Claudio
Statistics Theory
The simplicial depth, like other relevant multivariate statistical data depth functions, vanishes right outside the convex hull of the support of the distribution with respect to which the depth is computed. This is problematic when it is required to differentiate among points outside the convex hull of the distribution support, with respect to which the depth is computed, based on their depth values. We provide the first proposal for simplicial depth which do not vanish right outside the convex hull of the distribution. The properties of the proposal and of the corresponding estimator are studied theoretically and by means of Monte Carlo simulations and analysis of datasets.
title Generalization of the simplicial depth: no vanishment outside the convex hull of the distribution support
topic Statistics Theory
url https://arxiv.org/abs/1909.02739