Calibrated Bayes

@article{Little2006CalibratedB,
  title={Calibrated Bayes},
  author={R. Little},
  journal={The American Statistician},
  year={2006},
  volume={60},
  pages={213 - 223}
}
  • R. Little
  • Published 2006
  • Mathematics
  • The American Statistician
The lack of an agreed inferential basis for statistics makes life “interesting” for academic statisticians, but at the price of negative implications for the status of statistics in industry, science, and government. The practice of our discipline will mature only when we can come to a basic agreement about how to apply statistics to real problems. Simple and more general illustrations are given of the negative consequences of the existing schism between frequentists and Bayesians. An… Expand
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References

SHOWING 1-10 OF 89 REFERENCES
Bayesians, Frequentists, and Scientists
Sampling and Bayes' inference in scientific modelling and robustness
  • G. Box
  • Computer Science, Mathematics
  • 1980
Why Isn't Everyone a Bayesian?
Sensitivity of Bayes Inference with Data-Dependent Stopping Rules
THE LOGIC OF STATISTICAL INFERENCE1
  • G. Barnard
  • Computer Science
  • The British Journal for the Philosophy of Science
  • 1972
Statistical Evidence: A Likelihood Paradigm
Assessment and Propagation of Model Uncertainty
P Values for Composite Null Models
...
1
2
3
4
5
...