Publication Date
7-2013
Abstract
Pearson's correlation coefficient is used to describe dependence between random variables X and Y. In some practical situations, however, we have strong correlation for some values X and/or Y and no correlation for other values of X and Y. To describe such a local dependence, we come up with a natural localized version of Pearson's correlation coefficient. We also study the properties of the newly defined localized coefficient.
Comments
Technical Report: UTEP-CS-13-46
Published in Journal of Intelligent Technologies and Applied Statistics, 2013, Vol. 6, No. 3, pp. 215-224.