During the making of an AI model, Performance metrics like accuracy, precision, recall, F1-score, ROC curves are used to ...

A quantitative study is made of the bias in the usual estimate of the linear correlation coefficient and of the relative efficiency of the estimated regression, when a certain type of selective ...

Offers an alternative to Markowitz’s “Portfolio Selection”. Outlines the nuts and bolts of correlation between past and future performance, or between expected and actual returns. Explains ...

It is shown that there is a substantial positive sampling correlation between the regression of offspring on mid-parent and the covariance of full sibs estimated from the same data, and that in a ...