The Pearson product-moment correlation measures the linear relationship between two variables. It can be used for any data set that has a finite covariance matrix. Here are the steps to calculate ...

Statisticians use price data to find ... the degree of correlation in their price movements. This number can be used for constructing what is called a "correlation matrix" for different assets.

The method receives as input the observed correlations between node pairs and uses a matrix transformation ... will help translate the abundant correlation data into insights about a system's ...

But the vibrant field of random matrix theory (RMT) has provided original solutions to this big data problem – and has droves of possible applications in econometrics, machine learning and for other ...

Figure 1: A general strategy for transcriptome–interactome correlation mapping. Figure 3: Transcriptome–interactome correlation maps for sporulation and cell-stress data sets (see legend of Fig.