Establishes assumption-lean weak limits for WIPW estimators in two-stage adaptive experiments, characterizes phase transitions across signal regimes, and provides a simulation-based method for hypothesis testing under non-normal limits.
We first permute the outcomes within the whole population, generating B = 500 permuted samples
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Assumption-lean weak limits and tests for two-stage adaptive experiments
Establishes assumption-lean weak limits for WIPW estimators in two-stage adaptive experiments, characterizes phase transitions across signal regimes, and provides a simulation-based method for hypothesis testing under non-normal limits.