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External validity is quantified by the probability of low MMD between independent study replications, enabling principled sample size determination for generalizable experimental findings.
Unconditional KSDs are lifted to the conditional setting using operator-valued kernels, enabling goodness-of-fit testing for conditional models without knowing covariate distributions.
