Statistical Science

Wonderful Examples, but Let’s not Close Our Eyes

David J. Hand

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The papers in this collection are superb illustrations of the power of modern Bayesian methods. They give examples of problems which are well suited to being tackled using such methods, but one must not lose sight of the merits of having multiple different strategies and tools in one’s inferential armoury.

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Statist. Sci., Volume 29, Number 1 (2014), 98-100.

First available in Project Euclid: 9 May 2014

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Zentralblatt MATH identifier

Frequentist likelihood inference Neyman–Pearson hypothesis testing schools of inference


Hand, David J. Wonderful Examples, but Let’s not Close Our Eyes. Statist. Sci. 29 (2014), no. 1, 98--100. doi:10.1214/13-STS446.

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  • Box, G. E. P (1979). Robustness in the strategy of scientific model building. In Robustness in Statistics (R. L. Launer and G. N. Wilkinson, eds.) 201–236. Academic Press, New York.
  • Cox, D. R. and Donnelly, C. A. (2011). Principles of Applied Statistics. Cambridge Univ. Press, Cambridge.
  • Einstein, A. (1921). Geometry and experience. Lecture before the Prussian Academy of Sciences, January 27, 1921. Available at
  • Good, I. J. (1971). 46656 varieties of Bayesians. Amer. Statist. 25 62–63.
  • Lawrence, D. B. (1984). Risk and Reward: The Craft of Consumer Lending. Citicorp, New York.