Divergence Measures: Mathematical Foundations and Applications in Information-Theoretic and Statistical Problems-Reference-Cited by-同舟云学术

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

Published:2022-05-16 Issue:5 Volume:24 Page:712
ISSN:1099-4300
Container-title:Entropy
language:en
Short-container-title:Entropy

Author:

Sason Igal^ORCID

Abstract

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 [...]

Publisher

MDPI AG

Subject

General Physics and Astronomy

Link

https://www.mdpi.com/1099-4300/24/5/712/pdf

Reference51 articles.

1. Divergence measures for statistical data processing—An annotated bibliography

2. Some Universal Insights on Divergences for Statistics, Machine Learning and Artificial Intelligence

3. Information Theory and Statistics: A Tutorial

4. Generalization Error Bounds via Rényi-, f-Divergences and Maximal Leakage

5. Convex Statistical Distances;Liese,1987

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