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Statistical Analysis of Dynamic Mixtures

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Algorithms and Programs of Dynamic Mixture Estimation

Part of the book series: SpringerBriefs in Statistics ((BRIEFSSTATIST))

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Abstract

A mixture model considered in this book consists of a set of \(m_c\) components, which can be either regression models (2.1), categorical models (2.13) or state-space models (2.21)–(2.22). In general form the component model is denoted by the pdf.

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Authors and Affiliations

  1. Department of Signal Processing, Institute of Information Theory and Automation of the Czech Academy of Sciences and Czech Technical University in Prague, Prague, Czech Republic

    Ivan Nagy

  2. Department of Signal Processing, Institute of Information Theory and Automation of the Czech Academy of Sciences, Prague, Czech Republic

    Evgenia Suzdaleva

Authors
  1. Ivan Nagy
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  2. Evgenia Suzdaleva
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Correspondence to Ivan Nagy .

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Nagy, I., Suzdaleva, E. (2017). Statistical Analysis of Dynamic Mixtures. In: Algorithms and Programs of Dynamic Mixture Estimation. SpringerBriefs in Statistics. Springer, Cham. https://doi.org/10.1007/978-3-319-64671-8_3

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