Detecting practically significant dependencies in infinite dimensional
data via distance correlations
Detecting practically significant dependencies in infinite dimensional
data via distance correlations
In this paper we take a different look on the problem of testing the independence of two infinite dimensional random variables using the distance correlation. Instead of testing if the distance correlation vanishes exactly, we are interested in the null hypothesis that it does not exceed a certain threshold. Our …