It might be some straight forward thing.. But I referred to some threads already over internet to understand what exact does it mean when we use terms "evidence maximization" "type II maximum likelihood" or "maximum marginal likelihood".
All are same, and work with the marginal likelihood. i.e we maximize the denominator in Bayes Theorem. How does it differ from MLE?