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Why not Bayes?
Want to report on the compatibility of the results of this experiment with the background or new physics before combining with prior.
Empirically saw coverage problems worse than CLs.
- Can do a frequentist-motivated "calibration" but...
- Why not use the optimal Neyman-Pearson test (LR)?
- Non-factorizable test-statistic eliminates possibility of CPU-saving techniques in pdf determination.
Empirical study showed worse performance, as expected from N-P. for anything other than simple event counting in the absence of prior-tuning.