English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Multidimensional Cross-Recurrence Quantification Analysis (MdCRQA) – A Method for Quantifying Correlation between Multivariate Time-Series

Wallot, S. (2019). Multidimensional Cross-Recurrence Quantification Analysis (MdCRQA) – A Method for Quantifying Correlation between Multivariate Time-Series. Multivariate Behavioral Research, 54(2), 173-191. doi:10.1080/00273171.2018.1512846.

Item is

Files

show Files
hide Files
:
2018_Multidimensional cross-recurrence quantification analysis (MdCRQA).pdf (Publisher version), 3MB
Name:
2018_Multidimensional cross-recurrence quantification analysis (MdCRQA).pdf
Description:
-
OA-Status:
Hybrid
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
Copyright Date:
2018
Copyright Info:
© 2018 The Author(s). Published with license by Taylor & Francis Group, LLC

Locators

show

Creators

show
hide
 Creators:
Wallot, Sebastian1, Author
Affiliations:
1Department of Language and Literature, Max Planck Institute for Empirical Aesthetics, Max Planck Society, Grüneburgweg 14, 60322 Frankfurt am Main, DE, ou_2421695              

Content

show
hide
Free keywords: Multidimensional Cross-Recurrence Quantification Analysis, multivariate time-series, MdCRQA, DCRP, R, MatLab
 Abstract: In this paper, Multidimensional Cross-Recurrence Quantification Analysis (MdCRQA) is introduced. It is an extension of Multidimensional Recurrence Quantification Analysis (MdRQA), which allows to quantify the (auto-)recurrence properties of a single multidimensional time-series. MdCRQA extends MdRQA to bi-variate cases to allow for the quantification of the co-evolution of two multidimensional time-series. Moreover, it is shown how a Diagonal Cross-Recurrence Profile (DCRP) can be computed from the MdCRQA 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. In the supplementary materials to this paper, implementations of MdCRQA and the DCRP as MatLab- and R-functions are provided.

Details

show
hide
Language(s): eng - English
 Dates: 2018-12-202019-03-04
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1080/00273171.2018.1512846
BibTex Citekey: doi:10.1080/00273171.2018.1512846
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Multivariate Behavioral Research
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: New York, NY : Psychology Press, Taylor & Francis Group
Pages: - Volume / Issue: 54 (2) Sequence Number: - Start / End Page: 173 - 191 Identifier: ISSN: 0027-3171