Multidimensional Cross-Recurrence Quantification Analysis (MdCRQA) – A Method for Quantifying Correlation between Multivariate Time-Series
Bibliographic Data
| ID | 19289685 |
|---|---|
| Authors | Sebastian Wallot (0000-0002-3626-3940, Max Planck Institute for Empirical Aesthetics, corresponding author) |
| Year | 2019 |
| Volume | 54 |
| Issue | 2 |
| Pages | 173-191 |
| Publication date | 2019-03-04 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Multivariate Behavioral Research (JOURNAL) |
| Journal identifiers | ISSN: 0027-3171 • E-ISSN: 1532-7906 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/00273171.2018.1512846 |
| PMID | 30569740 |
| OpenAlex | W2905809276 |
| Language | EN |
| Citations received | 4 |
| References cited | 33 |
output that allows to capture time-lagged coupling between two multidimensional time-series. The core concepts of these analyses are described, as well as practical aspects of their application.
Algorithm · Correlation · Data mining · Diagonal · Extension (predicate logic) · Machine learning · Multidimensional analysis · Multidimensional systems · Multivariate statistics · Random variable · Random variate · Recurrence quantification analysis · Series (stratigraphy) · Statistics · Advanced Chemical Sensor Technologies · Complex Systems and Time Series Analysis · Computer Science · Mathematics · Time Series Analysis and Forecasting
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| Citations per year | 2 |
|---|---|
| Citation span | 2024 - 2025 (2) |
| Highly cited | No |