Some Simplifications for the Expectation-Maximization (EM) Algorithm: The Linear Regression Model Case

Daniel A. Griffith

The EM algorithm is a generic tool that offers maximum likelihood solutions when datasets are incomplete with data values missing at random or completely at random. At least for it…