The expectation maximization (EM) algorithm is a popular, and often remarkably simple, method for maximum likelihood estimation in incomplete-data problems. One criticism of EM in practice is that ...

EM Algorithm for Gaussian Mixture Models This repository contains an implementation of the Expectation-Maximization (EM) algorithm for fitting a Gaussian Mixture Model (GMM) to a dataset. The code ...

We introduce a maximum Lq-likelihood estimation (MLqE) of mixture models using our proposed expectation-maximization (EM) algorithm, namely the EM algorithm with Lq-likelihood (EM-Lq). Properties of ...

Several computational and statistical methods have been developed for haplotype inference, including Clark's algorithm 1, the Expectation Maximization (EM) algorithm 2, and Gibbs sampler 3.