Full information maximum likelihood estimation in factor analysis with a lot of missing values

Kei Hirose, Sunyong Kim, Yutaka Kano +3

We consider the problem of full information maximum likelihood (FIML) estimation in a factor analysis model when a majority of the data values are missing. The expectation-maximiza…