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Autor:
Victor Nawa, Saralees Nadarajah
Publikováno v:
Entropy, Vol 26, Iss 8, p 663 (2024)
The Kullback–Leibler divergence is a measure of the divergence between two probability distributions, often used in statistics and information theory. However, exact expressions for it are not known for multivariate or matrix-variate distributions
Externí odkaz:
https://doaj.org/article/1bd71fe23e30480eb3c85468359942ea
Autor:
Victor Nawa
Publikováno v:
Japanese Journal of Statistics and Data Science. 5:133-147