MATLAB Implementation of EM Algorithm for Maximum Likelihood Estimation

MATLAB implementation of Expectation-Maximization (EM) algorithm - an iterative method for finding maximum likelihood or maximum a posteriori estimates of parameters in statistical models with unobserved latent variables, featuring probability model handling and parameter optimization.