This procedure, known as the EM algorithm, is a specialization to the mixture density context of a general algorithm of the same name used to approximate maximum-likelihood estimates for incomplete ...

This is a preview. Log in through your library . Abstract Two major reasons for the popularity of the EM algorithm are that its maximum step involves only complete-data maximum likelihood estimation, ...

Bayesian Estimation and Maximum Likelihood Methods Publication Trend The graph below shows the total number of publications each year in Bayesian Estimation and Maximum Likelihood Methods.