Independent Component Analysis Via Nonparametric Maximum Likelihood Estimation
Independent Component Analysis (ICA) models are very popular semi- parametric models in which we observe independent copies of a random vec- tor X = AS, where A is a non-singular matrix and S has independent compo- nents. We propose a new way of estimating the unmixing matrix W = A^{-1} …