Wisler, Alan. Arizona State University, (2017) "Graph-based Estimation of Information Divergence Functions" advisor: Berisha, Visar Spanias, Andreas Information divergence functions, such as the Kullback-Leibler divergence or the Hellinger distance, play a critical role in statistical signal processing and information theory; however estimating them can be challenge. Most often, parametric assumptions are made about the two distributions to estimate the divergence of interest.