Survey Methodology
Conditional calibration and the sage statistician

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Catalogue No. 12-001-X

Frequency: Semi-annual

Ottawa

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Abstract - Article main page
Section 1. Principled statisticians
Section 2. Should frequentists care about Bayesian procedures?
Section 3. On the elusive goal of being calibrated and sage
Section 4. Calibration ‒ A simulation perspective
Section 5. The Bayesian posterior distribution of $Q$
Section 6. The conditionally calibrated statistician’s evaluation of procedure $P$
Section 7. The conditional calibration plot and its use for sage selecting statistician with observed data $Y^{*}$
Section 8. Implementing this idea in practice
Acknowledgements
References

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