Techniques such as this are different from our situation since we are taking a non-parametric approach to a simpler testing situation, but we still share the similar idea that one can gain power by differentially allocating resources towards the tests that are most likely to be significant.
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A Bayesian approach to efficient differential allocation for resampling-based significance testing.
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