An Omnibus Nonparametric Test of Equality in Distribution for Unknown Functions

14 Oct 2015Alexander R. LuedtkeMarco CaroneMark J. van der Laan

We present a novel family of nonparametric omnibus tests of the hypothesis that two unknown but estimable functions are equal in distribution when applied to the observed data structure. We developed these tests, which represent a generalization of the maximum mean discrepancy tests described in Gretton et al. [2006], using recent developments from the higher-order pathwise differentiability literature... (read more)

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