Panov, Vladimir - Sonderforschungsbereich 649: Ökonomisches Risiko, … - 2010

In this article, we present new ideas concerning Non-Gaussian Component Analysis (NGCA). We use the structural assumption that a high-dimensional random vector X can be represented as a sum of two components - a lowdimensional signal S and a noise component N. We show that this assumption...