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References

Published online by Cambridge University Press:  12 July 2017

Coryn A. L. Bailer-Jones
Coryn A. L. Bailer-Jones
Affiliation:
Max-Planck-Institut für Astronomie, Heidelberg
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Practical Bayesian Inference
A Primer for Physical Scientists
 , pp. 289 - 290
Publisher: Cambridge University Press
Print publication year: 2017

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References

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Akaike, H., 1974, A new look at the statistical model identification, IEEE Transactions on Automatic Control 19, 716–723 Google Scholar
Bailer-Jones, C.A.L., 2012, A Bayesian method for the analysis of deterministic and stochastic time series, Astronomy & Astrophysics 546, A89Google Scholar
Bailer-Jones, C.A.L., 2015, Estimating distances from parallaxes, Publications of the Astronomical Society of the Pacific 127, 994–1009 Google Scholar
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  • References
  • Coryn A. L. Bailer-Jones, Max-Planck-Institut für Astronomie, Heidelberg
  • Book: Practical Bayesian Inference
  • Online publication: 12 July 2017
  • Chapter DOI: https://doi.org/10.1017/9781108123891.014
Available formats
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Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

  • References
  • Coryn A. L. Bailer-Jones, Max-Planck-Institut für Astronomie, Heidelberg
  • Book: Practical Bayesian Inference
  • Online publication: 12 July 2017
  • Chapter DOI: https://doi.org/10.1017/9781108123891.014
Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • References
  • Coryn A. L. Bailer-Jones, Max-Planck-Institut für Astronomie, Heidelberg
  • Book: Practical Bayesian Inference
  • Online publication: 12 July 2017
  • Chapter DOI: https://doi.org/10.1017/9781108123891.014
Available formats
×