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Problemy Peredachi Informatsii, 2016, Volume 52, Issue 1, Pages 101–109 (Mi ppi2198)  
This article is cited in 8 scientific papers (total in 8 papers)

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Time series prediction based on data compression methods

A. S. Lysyaka, B. Ya. Ryabkoba

a Novosibirsk State University, Novosibirsk, Russia
b Institute of Computational Technologies, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
Full-text PDF (242 kB) Citations (8)
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Abstract: We propose efficient (“fast” and low memory consuming) algorithms for universal-coding-based prediction methods for real-valued time series. Previously, for such methods it was only proved that the prediction error is asymptotically minimal, and implementation complexity issues have not been considered at all. The provided experimental results demonstrate high precision of the proposed methods.
Funding agency Grant number
Russian Foundation for Basic Research 15-07-01851
Supported in part by the Russian Foundation for Basic Research, project no. 15-07-01851.
Received: 19.03.2015
Revised: 19.12.2015
English version:
Problems of Information Transmission, 2016, Volume 52, Issue 1, Pages 92–99
DOI: https://doi.org/10.1134/S0032946016010075
Bibliographic databases:
Document Type: Article
UDC: 621.391.15
Language: Russian
Citation: A. S. Lysyak, B. Ya. Ryabko, “Time series prediction based on data compression methods”, Probl. Peredachi Inf., 52:1 (2016), 101–109; Problems Inform. Transmission, 52:1 (2016), 92–99
Citation in format AMSBIB
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  • https://www.mathnet.ru/eng/ppi/v52/i1/p101
    • This publication is cited in the following 8 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    		Проблемы передачи информации Problems of Information Transmission
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    Abstract page:412
    Full-text PDF :72
    References:58
    First page:31
     
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