A STATISTICAL PARADOX¶
LINDLEY, D. V. (1957). A STATISTICAL PARADOX. Biometrika.
Cited by¶
1 citation across 1 artifact.
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Domain-specific¶
- Jeffreys-Lindley Paradox
- The Jeffreys-Lindley paradox (Harold Jeffreys, Theory of Probability, 1939; Dennis Lindley, "A Statistical Paradox," Biometrika 44, 1957) is the result that a frequentist significance test and a Bayesian posterior-odds comparison of the same data against the same point-null hypothesis can give diametrically opposed verdicts, and that this disagreement grows without bound as sample size increases
This sourceLindley's derivation that, with the test statistic held at the significance point (effect shrinking like 1/√n), the posterior odds for the null grow in proportion to √n.
Supported in partVerified against the source
- The Jeffreys-Lindley paradox (Harold Jeffreys, Theory of Probability, 1939; Dennis Lindley, "A Statistical Paradox," Biometrika 44, 1957) is the result that a frequentist significance test and a Bayesian posterior-odds comparison of the same data against the same point-null hypothesis can give diametrically opposed verdicts, and that this disagreement grows without bound as sample size increases
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Registry ID ref:45fc6e86445c · see in the full table