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 ...

, Peter Schlattmann, Ekkehart Dietz, Interval Censored Data: A Note on the Nonparametric Maximum Likelihood Estimator of the Distribution Function, Biometrika, Vol ...

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.