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An algorithm for arbitrary–order cumulant tensor calculation in a sliding window of data streams Cover

An algorithm for arbitrary–order cumulant tensor calculation in a sliding window of data streams

International Journal of Applied Mathematics and Computer Science
Volume 29 (2019): Issue 1 (March 2019)
By:  and    
Open Access
|Mar 2019
Authors

Authors

Krzysztof Domino

Institute of Theoretical and Applied Informatics, Polish Academy of Sciences, Gliwice, Poland

Piotr Gawron

gawron@iitis.pl

Institute of Theoretical and Applied Informatics, Polish Academy of Sciences, Gliwice, Poland
DOI: https://doi.org/10.2478/amcs-2019-0015 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X
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Language: English
Page range: 195 - 206
Submitted on: Apr 5, 2018
Accepted on: Oct 3, 2018
Published on: Mar 29, 2019
Published by: University of Zielona Góra
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
high order cumulants,
time-series statistics,
non-normally distributed data,
data streaming
Related subjects:
Mathematics,
Applied mathematics

© 2019 Krzysztof Domino, Piotr Gawron, published by University of Zielona Góra
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Volume 29 (2019): Issue 1 (March 2019)
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