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Found 3 papers, 1 papers with code
Incentive-Theoretic Bayesian Inference for Collaborative Science
We show how the principal can conduct statistical inference that leverages the information that is revealed by an agent's strategic behavior -- their choice to run a trial or not.
Bagging Provides Assumption-free Stability
Bagging is an important technique for stabilizing machine learning models.
Principal-Agent Hypothesis Testing
The efficacy of the drug is not known to the regulator, so the pharmaceutical company must run a costly trial to prove efficacy to the regulator.
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