ABSTRACT
The maximum likelihood estimation (MLE) is one of the most powerful estimation methods available today. It is based in the probabilistic framework unlike the least squares methods above, whose original formulation was cast as a functional approximation. Despite their distinctive philosophies, we can establish a strong equivalence between these approaches by casting the LS method in a probabilistic framework.
