The exact equivalence of distance and kernel methods in hypothesis testing

Shen, C., & Vogelstein. (2021). The exact equivalence of distance and kernel methods in hypothesis testing.

Type

Unclassified

Intellectual base

Unclassified

Year

2021

DOI

10.1007/s10182-020-00378-1

Link

https://doi.org/10.1007/s10182-020-00378-1

Cited by

1 citation across 1 artifact.

Domain-specific

• Energy distance
  • … or negative-type metric space, independent copies, finite-moment conditions, population formula and square-root convention, sample estimator, zero-equivalence and inference use are explicit. to An applied instance preserves the same invariant under changed scale, notation, jurisdiction, dataset, or implementation..

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