Bayesian estimation and maximum likelihood methods represent two central paradigms in modern statistical inference. Bayesian estimation incorporates prior beliefs through Bayes’ theorem, updating ...

This paper considers maximum likelihood estimation for the moving average parameter θ in an MA(1) model when θ is equal to or close to 1. A derivation of the limit distribution of the estimate θ̂LM, ...

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, ...