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

We propose a deterministic alternative to estimate Gaussian and Gaussian copula graphical models using an expectation conditional maximization (ECM) algorithm, extending the EM approach from Bayesian ...

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.