The extension of Pearson's correlation coefficient, measuring noise, and selecting features
By Reza Salimi, Kamran Pakizeh
Rating
1477
Battle Count: 40
Relevance
7/10
The extended correlation coefficient could be valuable for assessing multi-asset portfolio risk and selecting relevant features in predictive models
Implementation Complexity
6/10
Requires understanding of random matrix theory and eigenvalue analysis, but the core concept is an extension of familiar correlation analysis
Reproducibility
3/5
The paper provides mathematical derivations but lacks specific implementation details or code
About this paper
Methodology: Random Matrix Theory. Problem types: Dimensionality Reduction, Feature Selection.
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