The expectation maximization algorithm arises in many computational biology applications that involve probabilistic models. What is it good for, and how does it work?

Olivier Cappé, Eric Moulines, On-Line Expectation-Maximization Algorithm for Latent Data Models, Journal of the Royal Statistical Society. Series B (Statistical Methodology), Vol. 71, No. 3 (Jun., ...

We present a novel sequential Monte Carlo (SMC) online expectation-maximization (EM) algorithm for estimating the static parameters of such models. The SMC online EM algorithm has a cost per time ...

We developed an expectation–maximization (EM) algorithm to estimate the variance parameter of the prior distribution for each regression coefficient.