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Estimation: The Empirical Judgment

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Social Multimedia Signals

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Abstract

In this chapter we discuss signal parameters estimation and its application to social multimedia signals. Given a random observation Y taking values in an observation set Г, we wish to estimate the values of some quantities that are not observed directly but are related to Y. The connection between the observation and the desired quantities is probabilistic in the sense that the statistical behavior of Y is influenced by the values of quantities to be estimated. This can be modeled by a family of probability distributions on Г, indexed by the quantities to be estimated. Our goal is then to find an optimum way of processing the observation Y in order to estimate as accurately as possible the values of the desired quantities.

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Authors and Affiliations

  1. Betaworks, New York, NY, USA

    Suman Deb Roy

  2. Department of Computer Science, University of Missouri, Columbia, MO, USA

    Wenjun Zeng

Authors
  1. Suman Deb Roy
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  2. Wenjun Zeng
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Correspondence to Suman Deb Roy .

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© 2015 Springer International Publishing Switzerland

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Roy, S.D., Zeng, W. (2015). Estimation: The Empirical Judgment. In: Social Multimedia Signals. Springer, Cham. https://doi.org/10.1007/978-3-319-09117-4_6

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  • DOI: https://doi.org/10.1007/978-3-319-09117-4_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-09116-7

  • Online ISBN: 978-3-319-09117-4

  • eBook Packages: EngineeringEngineering (R0)

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