A fast algorithm for computing distance correlation

Classical dependence measures such as Pearson correlation, Spearman's $ρ$, and Kendall's $τ$ can detect only monotonic or linear dependence. To overcome these limitations, Szekely et al.(2007) proposed distance covariance as a weighted $L_2$ distance between the joint characteristic function and the... View More