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Application of Kolmogorov complexity and universal codes to identity testing and nonparametric testing of serial independence for time series.

Authors: Boris Ryabko, Jaakko Astola, and Alex Gammerman

Published in: Dagstuhl Seminar Proceedings, Volume 6051, Kolmogorov Complexity and Applications (2006)


Abstract
We show that Kolmogorov complexity and such its estimators as universal codes (or data compression methods) can be applied for hypothesis testing in a framework of classical mathematical statistics. The methods for identity testing and nonparametric testing of serial independence for time series are described.

Cite as

Boris Ryabko, Jaakko Astola, and Alex Gammerman. Application of Kolmogorov complexity and universal codes to identity testing and nonparametric testing of serial independence for time series.. In Kolmogorov Complexity and Applications. Dagstuhl Seminar Proceedings, Volume 6051, pp. 1-13, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2006)


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@InProceedings{ryabko_et_al:DagSemProc.06051.2,
  author =	{Ryabko, Boris and Astola, Jaakko and Gammerman, Alex},
  title =	{{Application of Kolmogorov complexity and universal codes to identity testing and nonparametric testing of serial independence for time series.}},
  booktitle =	{Kolmogorov Complexity and Applications},
  pages =	{1--13},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2006},
  volume =	{6051},
  editor =	{Marcus Hutter and Wolfgang Merkle and Paul M.B. Vitanyi},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.06051.2},
  URN =		{urn:nbn:de:0030-drops-6363},
  doi =		{10.4230/DagSemProc.06051.2},
  annote =	{Keywords: Algorithmic complexity, algorithmic information theory, Kolmogorov complexity, universal coding, hypothesis testing}
}
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