Divergence Measures: Mathematical Foundations and Applications in Information-Theoretic and Statistical Problems

Data science, information theory, probability theory, statistical learning, statistical signal processing, and other related disciplines greatly benefit from non-negative measures of dissimilarity between pairs of probability measures [...]

書誌詳細
出版年:Entropy
第一著者: Igal Sason
フォーマット: 論文
言語:英語
出版事項: MDPI AG 2022-05-01
主題:
n/a
オンライン・アクセス:https://www.mdpi.com/1099-4300/24/5/712