Skip to main content

Alpha, Evidence, and the Entropic Prior

  • Chapter

Part of the book series: Fundamental Theories of Physics ((FTPH,volume 53))

Abstract

First, the correct entropic prior is computed by marginalization of alpha. This is followed by a discussion of improvements to the “evidence” approximation. Surprisingly, it appears that the approximations used to restore the famous “Susie” image may have questionable aspects.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   259.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   329.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Bryan, R.K. (1990), Maximum Entropy Analysis of Oversampled Data Problems’, Eur. Biophys. J., 18, 165.

    Google Scholar 

  • Donoho et al. (1992), Maximum Entropy and The Nearly Black Object’, J. Roy. Soc. B, 54, 41.

    Google Scholar 

  • Gull, S.F. (1989), Developments in Maximum Entropy Data Analysis’, in J. Skilling (ed.), Maximum Entropy and Bayesian Methods, Kluwer, The Netherlands.

    Google Scholar 

  • MacKay, D. (1991), Bayesian Interpolation’ presented at Neural Networks for Computing conference, Snowbird, Utah.

    Google Scholar 

  • Skilling, J. (1989), Classic Maximum Entropy’, in J. Skilling (ed.), Maximum Entropy and Bayesian Methods, Kluwer, The Netherlands.

    Google Scholar 

  • Wolpert, D.H., and Wolf, D.R. (1993a), Estimating Functions of Probability Distributions from a Finite Set of Samples: Part I’, in preparation.

    Google Scholar 

  • Wolpert, D.H., Strauss, C.E.M., and Wolf, D.R. (1993b), On Evidence and the Marginalization of Alpha in the Entropic Prior’, in preparation.

    Google Scholar 

  • Wolpert, D.H. (1992), A Rigorous Investigation of Evidence and Occam Factors in Bayesian reasoning’, Santa Fe Institute TR 92–03–013.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1993 Springer Science+Business Media Dordrecht

About this chapter

Cite this chapter

Strauss, C.E.M., Wolpert, D.H., Wolf, D.R. (1993). Alpha, Evidence, and the Entropic Prior. In: Mohammad-Djafari, A., Demoment, G. (eds) Maximum Entropy and Bayesian Methods. Fundamental Theories of Physics, vol 53. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-2217-9_15

Download citation

  • DOI: https://doi.org/10.1007/978-94-017-2217-9_15

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-90-481-4272-9

  • Online ISBN: 978-94-017-2217-9

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics