Handling practical data as a single distribution presents inherent challenges and is deemed inappropriate. To overcome this limitation, a promising solution emerges: modeling the probability ...
Divergence measures quantify the dissimilarity between probability distributions and lie at the heart of modern information theory and statistical inference. Originating with the Kullback–Leibler ...