Ordinal Random Processes

Ordinal patterns have proven to be a valuable tool in many fields. Here, we address the need for theoretical models. A paradigmatic example shows that a model for frequencies of ordinal patterns can be determined without any numerical values. We specify the important concept of stationary order and the fundamental problems to be solved in order to establish a genuine statistical methodology for ordinal time series.

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Publication Details

Journal
Entropy
Published
2025-06-07
DOI
https://doi.org/10.3390/e27060610
Citations
1
Primary Topic
Complex Systems and Time Series Analysis
Type
article
Field-Weighted Citation Impact
3.13
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article

Ordinal Random Processes

Christoph Bandt
1 citations
Entropy
Complex Systems and Time Series Analysis
3.13
article

Ordinal Random Processes

Christoph Bandt
article en
1 citations

Abstract

Ordinal patterns have proven to be a valuable tool in many fields. Here, we address the need for theoretical models. A paradigmatic example shows that a model for frequencies of ordinal patterns can be determined without any numerical values. We specify the important concept of stationary order and the fundamental problems to be solved in order to establish a genuine statistical methodology for ordinal time series.

EntropyVol. 27(6)
Universität Greifswald (DE)
Openalex Percentile: Top 8%
Complex Systems and Time Series Analysis
3.13
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Ordinal Random Processes — Christoph Bandt · Entropy (2025) | TGRS Research Map | TGRS