Support points

@article{Mak2018SupportP,
  title={Support points},
  author={Simon Mak and V. Roshan Joseph},
  journal={The Annals of Statistics},
  year={2018}
}
This paper introduces a new way to compact a continuous probability distribution $F$ into a set of representative points called support points. These points are obtained by minimizing the energy distance, a statistical potential measure initially proposed by Sz\'ekely and Rizzo (2004) for testing goodness-of-fit. The energy distance has two appealing features. First, its distance-based structure allows us to exploit the duality between powers of the Euclidean distance and its Fourier transform… 

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