Maximum likelihood estimation and optimal coordinates

Abstract

We show that the MLE (maximum likelihood estimation) in the class of Gaussian densities can be understood as the search for the best coordinate system which “optimally” underlines the internal structure of the data. This allows in particular to the search for the optimal coordinate system when the origin is fixed in a given point.