Augmented Hypothesis Testing with Persona-Based LLM Simulations
A principled framework for learning-augmented hypothesis testing that leverages predictions of unknown quality to reduce sample sizes while maintaining statistical validity, and extends Prediction-Powered Inference to handle nonlinear prediction errors through higher-dimensional transformations.
Ziyad Benomar, Aymen Al Marjani, Paul Missault et al.
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