Comparative Performance of Expectation-Maximization (EM) Algorithm Variants for Finite Mixtures of Linear Regression Models
Aims/ Objectives: Finite mixture models, particularly mixtures of linear regressions, are widely used for modeling heterogeneous data. Although the Expectation-Maximization (EM) algorithm is the standard estimation method, variants such as Classification EM (CEM) and Stochastic EM (SEM) offer distinct advantages. Howev...