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Maximum Entropy and Bayesian Methods pp 291–294Cite as

Maximum Entropy Under Uncertainty

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Part of the book series: Fundamental Theories of Physics ((FTPH,volume 98))

Abstract

A method for finding maximum entropy distributions when the data is noisy is provided. It does not rely on making a priori assumptions on the nature of the noise contaminating the measurements.

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References

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Author information

Authors and Affiliations

  1. Escuela de Física y Matemáticas Facultad de Ciencias, Universidad Central de Venezuela, A.P. 52120, Caracas, 1050-A, Venezuela

    Henryk Gzyl

Authors
  1. Henryk Gzyl
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Editor information

Editors and Affiliations

  1. Department of Electronical Engineering, Boise State University, Boise, Idaho, USA

    Gary J. Erickson  & Joshua T. Rychert  & 

  2. Fayetteville, Tennessee, USA

    C. Ray Smith

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© 1998 Springer Science+Business Media Dordrecht

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Gzyl, H. (1998). Maximum Entropy Under Uncertainty. In: Erickson, G.J., Rychert, J.T., Smith, C.R. (eds) Maximum Entropy and Bayesian Methods. Fundamental Theories of Physics, vol 98. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-5028-6_24

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  • DOI: https://doi.org/10.1007/978-94-011-5028-6_24

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-6111-7

  • Online ISBN: 978-94-011-5028-6

  • eBook Packages: Springer Book Archive

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