Ordinal pattern dependence and multivariate measures of dependence

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Hauptverfasser: Silbernagel, Angelika, Schnurr, Alexander
Format: Preprint
Veröffentlicht: 2024
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author Silbernagel, Angelika
Schnurr, Alexander
author_facet Silbernagel, Angelika
Schnurr, Alexander
contents Ordinal pattern dependence has been introduced in order to capture co-monotonic behavior between two time series. This concept has several features one would intuitively demand from a dependence measure. It was believed that ordinal pattern dependence satisfies the axioms which Grothe et al. (Journal of Multivariate Analysis 123, 2014) proclaimed for a multivariate measure of dependence. In the present article we show that this is not true and that there is a mistake in the article Betken et al. (Journal of Multivariate Analysis 186, 2021). Furthermore we show that ordinal pattern dependence satisfies a slightly modified set of axioms.
format Preprint
id arxiv_https___arxiv_org_abs_2401_13007
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Ordinal pattern dependence and multivariate measures of dependence
Silbernagel, Angelika
Schnurr, Alexander
Statistics Theory
Probability
62M10 (Primary), 62H12 (Secondary)
Ordinal pattern dependence has been introduced in order to capture co-monotonic behavior between two time series. This concept has several features one would intuitively demand from a dependence measure. It was believed that ordinal pattern dependence satisfies the axioms which Grothe et al. (Journal of Multivariate Analysis 123, 2014) proclaimed for a multivariate measure of dependence. In the present article we show that this is not true and that there is a mistake in the article Betken et al. (Journal of Multivariate Analysis 186, 2021). Furthermore we show that ordinal pattern dependence satisfies a slightly modified set of axioms.
title Ordinal pattern dependence and multivariate measures of dependence
topic Statistics Theory
Probability
62M10 (Primary), 62H12 (Secondary)
url https://arxiv.org/abs/2401.13007