  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
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.
