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.
Authors
- Christoph Bandt (ORCID: https://orcid.org/0000-0002-6410-7144)
Institutions
- Universität Greifswald (DE)
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