NOTION OF INFORMATION AND INDEPENDENT COMPONENT ANALYSIS




Una Radojičić, Klaus Nordhausen, Hannu Oja

PublisherACAD SCIENCES CZECH REPUBLIC, INST MATHEMATICS

2020

Applications of Mathematics

APPLICATIONS OF MATHEMATICS

APPL MATH-CZECH

65

3

311

330

20

0862-7940

1572-9109

DOIhttps://doi.org/10.21136/AM.2020.0326-19(external)



Partial orderings and measures of information for continuous univariate random variables with special roles of Gaussian and uniform distributions are discussed. The information measures and measures of non-Gaussianity including the third and fourth cumulants are generally used as projection indices in the projection pursuit approach for the independent component analysis. The connections between information, non-Gaussianity and statistical independence in the context of independent component analysis is discussed in detail.



Last updated on 2024-26-11 at 18:37