Testing with Kernel-based Test Statistics Power Against Sequences of Local Alternatives

Testing for homogeneity between two samples offers a natural quantitative framework to investigate how to compare two distributions from empirical data. We shall discuss some recently proposed nonparametric test statistics, whose common feature is to share a kernel-based formulation. In particular, we discuss their respective power against different classes of alternatives.