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Straight Lines

  • Conference paper
Maximum Entropy and Bayesian Methods Garching, Germany 1998

Part of the book series: Fundamental Theories of Physics ((FTPH,volume 105))

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Abstract

Bayesian evidence is used to select the best model from a large set of models. The models are straight lines which might contain glitches and sudden changes in the slope. Most of the model parameters are nuisance parameters. The standard deviation of the noise has to be estimated too. As this is bulk data processing, it has to be done within strict CPU time limitations.

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References

  1. M. Kessler and 10 co-authors, “The Infrared Space Observatory (ISO) mission,” Astron. Astroph., 315, pp. L27–L31, 1996.

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Author information

Authors and Affiliations

  1. Space Research Organization Netherlands (SRON), PO Box 800, Groningen, 9700 AV, The Netherlands

    Do Kester

Authors
  1. Do Kester
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Editor information

Editors and Affiliations

  1. Institute for Theoretical Physics, Technical University of Graz, Graz, Austria

    Wolfgang von der Linden

  2. Max Planck Institute for Plasma Physics, Garching, Germany

    Volker Dose , Rainer Fischer  & Roland Preuss ,  & 

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© 1999 Springer Science+Business Media Dordrecht

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Kester, D. (1999). Straight Lines. In: von der Linden, W., Dose, V., Fischer, R., Preuss, R. (eds) Maximum Entropy and Bayesian Methods Garching, Germany 1998. Fundamental Theories of Physics, vol 105. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-4710-1_19

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  • DOI: https://doi.org/10.1007/978-94-011-4710-1_19

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-5982-4

  • Online ISBN: 978-94-011-4710-1

  • eBook Packages: Springer Book Archive

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