Independent component analysis, a new concept?
Signal Processing - Special issue on higher order statistics
Notes: A characterization of multivariate normality through univariate projections
Journal of Multivariate Analysis
Lp-Nested Symmetric Distributions
The Journal of Machine Learning Research
What is the limit of redundancy reduction with divisive normalization?
Neural Computation
| Hi-index | 0.00 |
It is a well known fact that invariance under the orthogonal group and marginal independence uniquely characterizes the isotropic normal distribution. Here, a similar characterization is provided for the more general class of differentiable bounded L"p-spherically symmetric distributions: Every factorial distribution in this class is necessarily p-generalized normal.