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.
For both functions e1/2(s, x) and e(s, x), we only need to prove that 1 (g(hN(MN)) ∈ Ck) − 1 (g(h(W1, c)) ∈ Ck) a.s
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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.