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Points of significance

Bayesian statistics

Nature Methods volume 12, pages 377–378 (2015)Cite this article

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A Corrigendum to this article was published on 29 October 2015

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Today's predictions are tomorrow's priors.

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Figure 1: Prior probability distributions represent knowledge about the coin before it is tossed.
Figure 2: Effect of choice of prior and amount of data collected on the posterior.

Change history

  • 24 September 2015

    In the version of this article initially published, the curves (in red) showing the likelihood distribution in Figure 2 were incorrectly drawn in some panels. The error has been corrected in the HTML and PDF versions of the article.

References

  1. Puga, J.L., Krzywinski, M. & Altman, N. Nat. Methods 12, 277–278 (2015).

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Acknowledgements

The authors gratefully acknowledge M. Lavine for contributions to the manuscript.

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Authors and Affiliations

  1. Jorge López Puga is a Professor of Research Methodology at UCAM Universidad Católica de Murcia.,

    Jorge López Puga

  2. Martin Krzywinski is a staff scientist at Canada's Michael Smith Genome Sciences Centre.,

    Martin Krzywinski

  3. Naomi Altman is a Professor of Statistics at The Pennsylvania State University.,

    Naomi Altman

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  1. Jorge López Puga
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  2. Martin Krzywinski
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Puga, J., Krzywinski, M. & Altman, N. Bayesian statistics. Nat Methods 12, 377–378 (2015). https://doi.org/10.1038/nmeth.3368

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