mlsanityData to 7 Oct 2026

A Multi-Way Correlation Coefficient

arXiv 2003.02561 ↗First posted 5 Mar 2020stat.MEcited by 2

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Abstract (arXiv)

Pearson's correlation is an important summary measure of the amount of dependence between two variables. It is natural to want to generalise the concept of correlation as a single number that measures the inter-relatedness of three or more variables e.g. how `correlated' are a collection of variables in which non are specifically to be treated as an `outcome'? In this short article, we introduce such a measure, and show that it reduces to the modulus of Pearson's r in the two dimensional case.

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). First posted on arXiv 5 Mar 2020.

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2 papers.