A penalized maximum likelihood approach to sparse factor analysis
A penalized maximum likelihood approach to sparse factor analysis
Factor analysis is a popular multivariate analysis method which is used to describe observed variables as linear combinations of hidden factors.In applications one usually needs to rotate the estimated factor loading matrix in order to obtain a more understandable model.In this article, an 1 penalization method is introduced for performing …