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Discussion on “Predictively consistent prior effective sample sizes,” by Beat Neuenschwander, Sebastian Weber, Heinz Schmidli, and Anthony O'Hagan

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  • Gary L. Rosner
  • Peter Müller

Abstract

Neuenschwander et al. address a seemingly easy but often complicated problem in applied Bayesian methodology. We discuss some issues that relate to the question of why one might care about the effective sample size (ESS) in a Bayesian model and the motivation for reporting the ESS.

Suggested Citation

  • Gary L. Rosner & Peter Müller, 2020. "Discussion on “Predictively consistent prior effective sample sizes,” by Beat Neuenschwander, Sebastian Weber, Heinz Schmidli, and Anthony O'Hagan," Biometrics, The International Biometric Society, vol. 76(2), pages 599-601, June.
    • Handle: RePEc:bla:biomet:v:76:y:2020:i:2:p:599-601
    DOI: 10.1111/biom.13254
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    References listed on IDEAS

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    1. Leonhard Held, 2020. "A new standard for the analysis and design of replication studies," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(2), pages 431-448, February.
    2. Steffen Ventz & Matteo Cellamare & Sergio Bacallado & Lorenzo Trippa, 2019. "Bayesian Uncertainty Directed Trial Designs," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 114(527), pages 962-974, July.
    3. Satoshi Morita & Peter F. Thall & Peter Müller, 2008. "Determining the Effective Sample Size of a Parametric Prior," Biometrics, The International Biometric Society, vol. 64(2), pages 595-602, June.
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