Measuring and Testing Dependence by Correlation of Distances¶
Székely, G. J., Rizzo, M. L., & Bakirov, N. K. (2007). Measuring and Testing Dependence by Correlation of Distances. The Annals of Statistics, 35(6), 2769-2794.
Cited by¶
1 citation across 1 artifact.
Each citation links to the sentence it supports in the citing article.
Mechanisms¶
- Nonlinear Dependence Screen
- A near-zero linear coefficient is never evidence of independence — only of no straight-line relationship.
This sourceShows that zero classical correlation does not imply independence and introduces distance correlation, which vanishes only under independence.
- A near-zero linear coefficient is never evidence of independence — only of no straight-line relationship.
Verification¶
Does it exist? Confirmed. This work's DOI resolves to a registered record, which fixes its identity. That is all it fixes.
Does it back the claim? Not recorded. The single citation of this work carries no recorded support check.
Support is checked per citation rather than per work — the same source can be cited soundly in one article and wrongly in another. Per-citation recording began recently, so a citation with no recorded check is a gap in the record rather than evidence it went unchecked.
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Registry ID ref:abea10b546c1 · see in the full table