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Linear Models

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Randomized Algorithms in Automatic Control and Data Mining

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 67))

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Abstract

This section is concerned with parameter estimation and the filtering of linear models. We focus on algorithms which facilitate avoiding standard requirements for observation noise.

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Authors and Affiliations

  1. Department of Mathematics and Mechanics, Saint Petersburg State University , St. Petersburg, Russia

    Oleg Granichin

  2. Department of Software Engineering , ORT Braude College, Karmiel, Israel

    Zeev (Vladimir) Volkovich & Dvora Toledano-Kitai

Authors
  1. Oleg Granichin
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  2. Zeev (Vladimir) Volkovich
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  3. Dvora Toledano-Kitai
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Corresponding author

Correspondence to Oleg Granichin .

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© 2015 Springer-Verlag Berlin Heidelberg

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Granichin, O., Volkovich, Z.(., Toledano-Kitai, D. (2015). Linear Models. In: Randomized Algorithms in Automatic Control and Data Mining. Intelligent Systems Reference Library, vol 67. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54786-7_4

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  • DOI: https://doi.org/10.1007/978-3-642-54786-7_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-54785-0

  • Online ISBN: 978-3-642-54786-7

  • eBook Packages: EngineeringEngineering (R0)

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